{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1d1e1b7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: numpy in d:\\anaconda\\envs\\py36\\lib\\site-packages (1.19.5)\n",
      "Requirement already satisfied: pandas in d:\\anaconda\\envs\\py36\\lib\\site-packages (1.1.5)\n",
      "Requirement already satisfied: matplotlib in d:\\anaconda\\envs\\py36\\lib\\site-packages (3.3.4)\n",
      "Requirement already satisfied: requests in d:\\anaconda\\envs\\py36\\lib\\site-packages (2.27.1)\n",
      "Requirement already satisfied: tqdm in d:\\anaconda\\envs\\py36\\lib\\site-packages (4.64.0)\n",
      "Requirement already satisfied: opencv-python in d:\\anaconda\\envs\\py36\\lib\\site-packages (3.4.1.15)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2017.2 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from pandas) (2021.3)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from matplotlib) (3.0.7)\n",
      "Requirement already satisfied: cycler>=0.10 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from matplotlib) (0.11.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from matplotlib) (1.3.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from matplotlib) (8.4.0)\n",
      "Requirement already satisfied: charset-normalizer~=2.0.0 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from requests) (2.0.4)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from requests) (2021.5.30)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from requests) (1.26.8)\n",
      "Requirement already satisfied: idna<4,>=2.5 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from requests) (3.3)\n",
      "Requirement already satisfied: importlib-resources in d:\\anaconda\\envs\\py36\\lib\\site-packages (from tqdm) (5.4.0)\n",
      "Requirement already satisfied: colorama in d:\\anaconda\\envs\\py36\\lib\\site-packages (from tqdm) (0.4.4)\n",
      "Requirement already satisfied: six>=1.5 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from python-dateutil>=2.7.3->pandas) (1.16.0)\n",
      "Requirement already satisfied: zipp>=3.1.0 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from importlib-resources->tqdm) (3.6.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n"
     ]
    }
   ],
   "source": [
    "!pip install numpy pandas matplotlib requests tqdm opencv-python\n",
    " \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1989dade",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2162dc13",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-08-07 10:04:24--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/dataset_delete_test.zip\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 29954078 (29M) [application/zip]\n",
      "Saving to: 'dataset_delete_test.zip'\n",
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      "  9500K .......... .......... .......... .......... .......... 32% 16.3M 3s\n",
      "  9550K .......... .......... .......... .......... .......... 32% 21.3M 3s\n",
      "  9600K .......... .......... .......... .......... .......... 32% 14.4M 3s\n",
      "  9650K .......... .......... .......... .......... .......... 33% 29.5M 3s\n",
      "  9700K .......... .......... .......... .......... .......... 33% 6.01M 3s\n",
      "  9750K .......... .......... .......... .......... .......... 33% 5.16M 3s\n",
      "  9800K .......... .......... .......... .......... .......... 33% 12.6M 3s\n",
      "  9850K .......... .......... .......... .......... .......... 33% 3.98M 3s\n",
      "  9900K .......... .......... .......... .......... .......... 34% 7.80M 3s\n",
      "  9950K .......... .......... .......... .......... .......... 34% 20.6M 3s\n",
      " 10000K .......... .......... .......... .......... .......... 34% 16.2M 3s\n",
      " 10050K .......... .......... .......... .......... .......... 34% 28.7M 3s\n",
      " 10100K .......... .......... .......... .......... .......... 34% 3.36M 3s\n",
      " 10150K .......... .......... .......... .......... .......... 34% 5.12M 3s\n",
      " 10200K .......... .......... .......... .......... .......... 35% 13.5M 3s\n",
      " 10250K .......... .......... .......... .......... .......... 35% 3.96M 3s\n",
      " 10300K .......... .......... .......... .......... .......... 35% 11.9M 3s\n",
      " 10350K .......... .......... .......... .......... .......... 35% 20.8M 3s\n",
      " 10400K .......... .......... .......... .......... .......... 35% 24.4M 2s\n",
      " 10450K .......... .......... .......... .......... .......... 35% 21.8M 2s\n",
      " 10500K .......... .......... .......... .......... .......... 36% 5.16M 2s\n",
      " 10550K .......... .......... .......... .......... .......... 36% 5.94M 2s\n",
      " 10600K .......... .......... .......... .......... .......... 36% 13.4M 2s\n",
      " 10650K .......... .......... .......... .......... .......... 36% 4.96M 2s\n",
      " 10700K .......... .......... .......... .......... .......... 36% 7.54M 2s\n",
      " 10750K .......... .......... .......... .......... .......... 36% 21.5M 2s\n",
      " 10800K .......... .......... .......... .......... .......... 37% 16.2M 2s\n",
      " 10850K .......... .......... .......... .......... .......... 37% 34.1M 2s\n",
      " 10900K .......... .......... .......... .......... .......... 37% 10.3M 2s\n",
      " 10950K .......... .......... .......... .......... .......... 37% 31.1M 2s\n",
      " 11000K .......... .......... .......... .......... .......... 37% 4.22M 2s\n",
      " 11050K .......... .......... .......... .......... .......... 37% 5.42M 2s\n",
      " 11100K .......... .......... .......... .......... .......... 38% 7.12M 2s\n",
      " 11150K .......... .......... .......... .......... .......... 38% 34.9M 2s\n",
      " 11200K .......... .......... .......... .......... .......... 38% 11.4M 2s\n",
      " 11250K .......... .......... .......... .......... .......... 38% 23.2M 2s\n",
      " 11300K .......... .......... .......... .......... .......... 38% 13.8M 2s\n",
      " 11350K .......... .......... .......... .......... .......... 38% 19.5M 2s\n",
      " 11400K .......... .......... .......... .......... .......... 39% 12.6M 2s\n",
      " 11450K .......... .......... .......... .......... .......... 39% 18.9M 2s\n",
      " 11500K .......... .......... .......... .......... .......... 39% 21.2M 2s\n",
      " 11550K .......... .......... .......... .......... .......... 39% 6.26M 2s\n",
      " 11600K .......... .......... .......... .......... .......... 39% 10.1M 2s\n",
      " 11650K .......... .......... .......... .......... .......... 39% 5.48M 2s\n",
      " 11700K .......... .......... .......... .......... .......... 40% 6.93M 2s\n",
      " 11750K .......... .......... .......... .......... .......... 40% 21.0M 2s\n",
      " 11800K .......... .......... .......... .......... .......... 40% 9.61M 2s\n",
      " 11850K .......... .......... .......... .......... .......... 40% 30.0M 2s\n",
      " 11900K .......... .......... .......... .......... .......... 40% 13.1M 2s\n",
      " 11950K .......... .......... .......... .......... .......... 41% 17.5M 2s\n",
      " 12000K .......... .......... .......... .......... .......... 41% 36.1M 2s\n",
      " 12050K .......... .......... .......... .......... .......... 41% 11.8M 2s\n",
      " 12100K .......... .......... .......... .......... .......... 41% 20.3M 2s\n",
      " 12150K .......... .......... .......... .......... .......... 41% 5.25M 2s\n",
      " 12200K .......... .......... .......... .......... .......... 41% 3.60M 2s\n",
      " 12250K .......... .......... .......... .......... .......... 42% 18.3M 2s\n",
      " 12300K .......... .......... .......... .......... .......... 42% 14.1M 2s\n",
      " 12350K .......... .......... .......... .......... .......... 42% 27.1M 2s\n",
      " 12400K .......... .......... .......... .......... .......... 42% 15.8M 2s\n",
      " 12450K .......... .......... .......... .......... .......... 42% 38.2M 2s\n",
      " 12500K .......... .......... .......... .......... .......... 42% 13.3M 2s\n",
      " 12550K .......... .......... .......... .......... .......... 43% 29.2M 2s\n",
      " 12600K .......... .......... .......... .......... .......... 43% 7.80M 2s\n",
      " 12650K .......... .......... .......... .......... .......... 43% 14.6M 2s\n",
      " 12700K .......... .......... .......... .......... .......... 43% 40.5M 2s\n",
      " 12750K .......... .......... .......... .......... .......... 43% 6.04M 2s\n",
      " 12800K .......... .......... .......... .......... .......... 43% 5.38M 2s\n",
      " 12850K .......... .......... .......... .......... .......... 44% 21.0M 2s\n",
      " 12900K .......... .......... .......... .......... .......... 44% 17.9M 2s\n",
      " 12950K .......... .......... .......... .......... .......... 44% 20.2M 2s\n",
      " 13000K .......... .......... .......... .......... .......... 44% 16.9M 2s\n",
      " 13050K .......... .......... .......... .......... .......... 44% 27.7M 2s\n",
      " 13100K .......... .......... .......... .......... .......... 44% 13.1M 2s\n",
      " 13150K .......... .......... .......... .......... .......... 45% 35.2M 2s\n",
      " 13200K .......... .......... .......... .......... .......... 45% 10.5M 2s\n",
      " 13250K .......... .......... .......... .......... .......... 45% 12.5M 2s\n",
      " 13300K .......... .......... .......... .......... .......... 45% 19.9M 2s\n",
      " 13350K .......... .......... .......... .......... .......... 45% 18.2M 2s\n",
      " 13400K .......... .......... .......... .......... .......... 45% 20.6M 2s\n",
      " 13450K .......... .......... .......... .......... .......... 46% 3.48M 2s\n",
      " 13500K .......... .......... .......... .......... .......... 46% 16.6M 2s\n",
      " 13550K .......... .......... .......... .......... .......... 46% 32.2M 2s\n",
      " 13600K .......... .......... .......... .......... .......... 46% 19.9M 2s\n",
      " 13650K .......... .......... .......... .......... .......... 46% 20.8M 2s\n",
      " 13700K .......... .......... .......... .......... .......... 47% 14.3M 2s\n",
      " 13750K .......... .......... .......... .......... .......... 47% 28.0M 2s\n",
      " 13800K .......... .......... .......... .......... .......... 47% 15.4M 2s\n",
      " 13850K .......... .......... .......... .......... .......... 47% 10.8M 2s\n",
      " 13900K .......... .......... .......... .......... .......... 47% 38.3M 2s\n",
      " 13950K .......... .......... .......... .......... .......... 47% 12.5M 2s\n",
      " 14000K .......... .......... .......... .......... .......... 48% 24.6M 2s\n",
      " 14050K .......... .......... .......... .......... .......... 48% 12.3M 2s\n",
      " 14100K .......... .......... .......... .......... .......... 48% 4.83M 2s\n",
      " 14150K .......... .......... .......... .......... .......... 48% 9.86M 2s\n",
      " 14200K .......... .......... .......... .......... .......... 48% 12.0M 2s\n",
      " 14250K .......... .......... .......... .......... .......... 48%  498M 2s\n",
      " 14300K .......... .......... .......... .......... .......... 49% 13.7M 2s\n",
      " 14350K .......... .......... .......... .......... .......... 49% 14.6M 2s\n",
      " 14400K .......... .......... .......... .......... .......... 49% 8.50M 2s\n",
      " 14450K .......... .......... .......... .......... .......... 49% 21.0M 2s\n",
      " 14500K .......... .......... .......... .......... .......... 49% 13.3M 2s\n",
      " 14550K .......... .......... .......... .......... .......... 49% 15.5M 2s\n",
      " 14600K .......... .......... .......... .......... .......... 50% 8.76M 2s\n",
      " 14650K .......... .......... .......... .......... .......... 50% 11.1M 2s\n",
      " 14700K .......... .......... .......... .......... .......... 50% 7.73M 2s\n",
      " 14750K .......... .......... .......... .......... .......... 50% 13.4M 2s\n",
      " 14800K .......... .......... .......... .......... .......... 50% 8.48M 2s\n",
      " 14850K .......... .......... .......... .......... .......... 50% 10.9M 2s\n",
      " 14900K .......... .......... .......... .......... .......... 51% 14.8M 2s\n",
      " 14950K .......... .......... .......... .......... .......... 51% 14.4M 2s\n",
      " 15000K .......... .......... .......... .......... .......... 51% 15.0M 2s\n",
      " 15050K .......... .......... .......... .......... .......... 51% 7.13M 2s\n",
      " 15100K .......... .......... .......... .......... .......... 51% 12.7M 2s\n",
      " 15150K .......... .......... .......... .......... .......... 51% 21.2M 2s\n",
      " 15200K .......... .......... .......... .......... .......... 52% 12.0M 2s\n",
      " 15250K .......... .......... .......... .......... .......... 52% 6.16M 2s\n",
      " 15300K .......... .......... .......... .......... .......... 52% 15.8M 2s\n",
      " 15350K .......... .......... .......... .......... .......... 52% 11.8M 2s\n",
      " 15400K .......... .......... .......... .......... .......... 52% 18.9M 2s\n",
      " 15450K .......... .......... .......... .......... .......... 52% 9.33M 2s\n",
      " 15500K .......... .......... .......... .......... .......... 53% 13.8M 2s\n",
      " 15550K .......... .......... .......... .......... .......... 53% 11.8M 2s\n",
      " 15600K .......... .......... .......... .......... .......... 53% 7.52M 2s\n",
      " 15650K .......... .......... .......... .......... .......... 53% 15.3M 2s\n",
      " 15700K .......... .......... .......... .......... .......... 53% 14.3M 2s\n",
      " 15750K .......... .......... .......... .......... .......... 54% 12.8M 2s\n",
      " 15800K .......... .......... .......... .......... .......... 54% 6.17M 2s\n",
      " 15850K .......... .......... .......... .......... .......... 54% 8.61M 2s\n",
      " 15900K .......... .......... .......... .......... .......... 54% 7.72M 2s\n",
      " 15950K .......... .......... .......... .......... .......... 54% 14.3M 2s\n",
      " 16000K .......... .......... .......... .......... .......... 54% 5.27M 2s\n",
      " 16050K .......... .......... .......... .......... .......... 55% 5.48M 2s\n",
      " 16100K .......... .......... .......... .......... .......... 55% 5.80M 2s\n",
      " 16150K .......... .......... .......... .......... .......... 55% 79.6M 2s\n",
      " 16200K .......... .......... .......... .......... .......... 55% 9.96M 2s\n",
      " 16250K .......... .......... .......... .......... .......... 55% 21.6M 2s\n",
      " 16300K .......... .......... .......... .......... .......... 55% 15.3M 1s\n",
      " 16350K .......... .......... .......... .......... .......... 56% 35.3M 1s\n",
      " 16400K .......... .......... .......... .......... .......... 56% 4.52M 1s\n",
      " 16450K .......... .......... .......... .......... .......... 56% 12.5M 1s\n",
      " 16500K .......... .......... .......... .......... .......... 56% 21.4M 1s\n",
      " 16550K .......... .......... .......... .......... .......... 56% 11.7M 1s\n",
      " 16600K .......... .......... .......... .......... .......... 56% 29.1M 1s\n",
      " 16650K .......... .......... .......... .......... .......... 57% 19.1M 1s\n",
      " 16700K .......... .......... .......... .......... .......... 57% 9.64M 1s\n",
      " 16750K .......... .......... .......... .......... .......... 57% 20.9M 1s\n",
      " 16800K .......... .......... .......... .......... .......... 57% 25.3M 1s\n",
      " 16850K .......... .......... .......... .......... .......... 57% 10.1M 1s\n",
      " 16900K .......... .......... .......... .......... .......... 57% 23.4M 1s\n",
      " 16950K .......... .......... .......... .......... .......... 58% 14.8M 1s\n",
      " 17000K .......... .......... .......... .......... .......... 58% 4.45M 1s\n",
      " 17050K .......... .......... .......... .......... .......... 58% 14.1M 1s\n",
      " 17100K .......... .......... .......... .......... .......... 58% 18.1M 1s\n",
      " 17150K .......... .......... .......... .......... .......... 58% 13.1M 1s\n",
      " 17200K .......... .......... .......... .......... .......... 58% 9.94M 1s\n",
      " 17250K .......... .......... .......... .......... .......... 59% 17.0M 1s\n",
      " 17300K .......... .......... .......... .......... .......... 59% 11.8M 1s\n",
      " 17350K .......... .......... .......... .......... .......... 59% 12.8M 1s\n",
      " 17400K .......... .......... .......... .......... .......... 59% 7.35M 1s\n",
      " 17450K .......... .......... .......... .......... .......... 59% 20.2M 1s\n",
      " 17500K .......... .......... .......... .......... .......... 59% 12.3M 1s\n",
      " 17550K .......... .......... .......... .......... .......... 60% 6.27M 1s\n",
      " 17600K .......... .......... .......... .......... .......... 60% 9.28M 1s\n",
      " 17650K .......... .......... .......... .......... .......... 60% 20.7M 1s\n",
      " 17700K .......... .......... .......... .......... .......... 60% 12.5M 1s\n",
      " 17750K .......... .......... .......... .......... .......... 60% 13.0M 1s\n",
      " 17800K .......... .......... .......... .......... .......... 61% 8.86M 1s\n",
      " 17850K .......... .......... .......... .......... .......... 61% 14.1M 1s\n",
      " 17900K .......... .......... .......... .......... .......... 61% 17.0M 1s\n",
      " 17950K .......... .......... .......... .......... .......... 61% 11.1M 1s\n",
      " 18000K .......... .......... .......... .......... .......... 61% 8.83M 1s\n",
      " 18050K .......... .......... .......... .......... .......... 61% 12.1M 1s\n",
      " 18100K .......... .......... .......... .......... .......... 62% 6.87M 1s\n",
      " 18150K .......... .......... .......... .......... .......... 62% 24.7M 1s\n",
      " 18200K .......... .......... .......... .......... .......... 62% 11.6M 1s\n",
      " 18250K .......... .......... .......... .......... .......... 62% 10.8M 1s\n",
      " 18300K .......... .......... .......... .......... .......... 62% 12.6M 1s\n",
      " 18350K .......... .......... .......... .......... .......... 62% 13.1M 1s\n",
      " 18400K .......... .......... .......... .......... .......... 63% 8.84M 1s\n",
      " 18450K .......... .......... .......... .......... .......... 63% 14.4M 1s\n",
      " 18500K .......... .......... .......... .......... .......... 63% 11.3M 1s\n",
      " 18550K .......... .......... .......... .......... .......... 63% 9.58M 1s\n",
      " 18600K .......... .......... .......... .......... .......... 63% 11.5M 1s\n",
      " 18650K .......... .......... .......... .......... .......... 63% 7.13M 1s\n",
      " 18700K .......... .......... .......... .......... .......... 64% 3.27M 1s\n",
      " 18750K .......... .......... .......... .......... .......... 64% 4.45M 1s\n",
      " 18800K .......... .......... .......... .......... .......... 64% 7.51M 1s\n",
      " 18850K .......... .......... .......... .......... .......... 64% 27.7M 1s\n",
      " 18900K .......... .......... .......... .......... .......... 64% 4.64M 1s\n",
      " 18950K .......... .......... .......... .......... .......... 64%  129M 1s\n",
      " 19000K .......... .......... .......... .......... .......... 65% 4.04M 1s\n",
      " 19050K .......... .......... .......... .......... .......... 65% 81.0M 1s\n",
      " 19100K .......... .......... .......... .......... .......... 65% 6.57M 1s\n",
      " 19150K .......... .......... .......... .......... .......... 65% 4.80M 1s\n",
      " 19200K .......... .......... .......... .......... .......... 65% 3.78M 1s\n",
      " 19250K .......... .......... .......... .......... .......... 65% 35.4M 1s\n",
      " 19300K .......... .......... .......... .......... .......... 66% 5.95M 1s\n",
      " 19350K .......... .......... .......... .......... .......... 66% 20.9M 1s\n",
      " 19400K .......... .......... .......... .......... .......... 66% 15.5M 1s\n",
      " 19450K .......... .......... .......... .......... .......... 66% 33.1M 1s\n",
      " 19500K .......... .......... .......... .......... .......... 66% 5.00M 1s\n",
      " 19550K .......... .......... .......... .......... .......... 67% 5.45M 1s\n",
      " 19600K .......... .......... .......... .......... .......... 67% 4.85M 1s\n",
      " 19650K .......... .......... .......... .......... .......... 67% 13.8M 1s\n",
      " 19700K .......... .......... .......... .......... .......... 67% 8.02M 1s\n",
      " 19750K .......... .......... .......... .......... .......... 67% 37.5M 1s\n",
      " 19800K .......... .......... .......... .......... .......... 67% 10.7M 1s\n",
      " 19850K .......... .......... .......... .......... .......... 68% 16.1M 1s\n",
      " 19900K .......... .......... .......... .......... .......... 68% 20.7M 1s\n",
      " 19950K .......... .......... .......... .......... .......... 68% 5.76M 1s\n",
      " 20000K .......... .......... .......... .......... .......... 68% 14.2M 1s\n",
      " 20050K .......... .......... .......... .......... .......... 68% 5.06M 1s\n",
      " 20100K .......... .......... .......... .......... .......... 68% 3.89M 1s\n",
      " 20150K .......... .......... .......... .......... .......... 69% 23.7M 1s\n",
      " 20200K .......... .......... .......... .......... .......... 69% 14.7M 1s\n",
      " 20250K .......... .......... .......... .......... .......... 69% 21.3M 1s\n",
      " 20300K .......... .......... .......... .......... .......... 69% 8.56M 1s\n",
      " 20350K .......... .......... .......... .......... .......... 69%  132M 1s\n",
      " 20400K .......... .......... .......... .......... .......... 69% 24.3M 1s\n",
      " 20450K .......... .......... .......... .......... .......... 70% 6.87M 1s\n",
      " 20500K .......... .......... .......... .......... .......... 70% 18.7M 1s\n",
      " 20550K .......... .......... .......... .......... .......... 70% 6.50M 1s\n",
      " 20600K .......... .......... .......... .......... .......... 70% 19.8M 1s\n",
      " 20650K .......... .......... .......... .......... .......... 70% 4.20M 1s\n",
      " 20700K .......... .......... .......... .......... .......... 70% 23.3M 1s\n",
      " 20750K .......... .......... .......... .......... .......... 71% 19.8M 1s\n",
      " 20800K .......... .......... .......... .......... .......... 71% 13.8M 1s\n",
      " 20850K .......... .......... .......... .......... .......... 71% 9.79M 1s\n",
      " 20900K .......... .......... .......... .......... .......... 71%  188M 1s\n",
      " 20950K .......... .......... .......... .......... .......... 71% 21.6M 1s\n",
      " 21000K .......... .......... .......... .......... .......... 71% 5.58M 1s\n",
      " 21050K .......... .......... .......... .......... .......... 72% 34.5M 1s\n",
      " 21100K .......... .......... .......... .......... .......... 72% 5.81M 1s\n",
      " 21150K .......... .......... .......... .......... .......... 72% 15.0M 1s\n",
      " 21200K .......... .......... .......... .......... .......... 72% 6.83M 1s\n",
      " 21250K .......... .......... .......... .......... .......... 72% 22.3M 1s\n",
      " 21300K .......... .......... .......... .......... .......... 72% 4.87M 1s\n",
      " 21350K .......... .......... .......... .......... .......... 73%  120M 1s\n",
      " 21400K .......... .......... .......... .......... .......... 73% 10.2M 1s\n",
      " 21450K .......... .......... .......... .......... .......... 73%  147M 1s\n",
      " 21500K .......... .......... .......... .......... .......... 73% 5.98M 1s\n",
      " 21550K .......... .......... .......... .......... .......... 73% 80.4M 1s\n",
      " 21600K .......... .......... .......... .......... .......... 74% 11.6M 1s\n",
      " 21650K .......... .......... .......... .......... .......... 74% 9.09M 1s\n",
      " 21700K .......... .......... .......... .......... .......... 74% 7.83M 1s\n",
      " 21750K .......... .......... .......... .......... .......... 74% 19.3M 1s\n",
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      " 29250K ..                                                    100% 38.7G=3.2s\n",
      "\n",
      "2022-08-07 10:04:28 (8.84 MB/s) - 'dataset_delete_test.zip' saved [29954078/29954078]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/dataset_delete_test.zip\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "08f65f51",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu113\n",
      "Requirement already satisfied: torch in d:\\anaconda\\envs\\py36\\lib\\site-packages (1.10.2)\n",
      "Requirement already satisfied: torchvision in d:\\anaconda\\envs\\py36\\lib\\site-packages (0.11.3)\n",
      "Requirement already satisfied: torchaudio in d:\\anaconda\\envs\\py36\\lib\\site-packages (0.10.2)\n",
      "Requirement already satisfied: typing_extensions in d:\\anaconda\\envs\\py36\\lib\\site-packages (from torch) (4.1.1)\n",
      "Requirement already satisfied: dataclasses in d:\\anaconda\\envs\\py36\\lib\\site-packages (from torch) (0.8)\n",
      "Requirement already satisfied: numpy in d:\\anaconda\\envs\\py36\\lib\\site-packages (from torchvision) (1.19.5)\n",
      "Requirement already satisfied: pillow!=8.3.0,>=5.3.0 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from torchvision) (8.4.0)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n"
     ]
    }
   ],
   "source": [
    "!pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a26e7b38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in links: https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/index.html\n",
      "Collecting mmcv-full\n",
      "  Downloading https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/mmcv_full-1.6.1-cp36-cp36m-win_amd64.whl (13.6 MB)\n",
      "Collecting regex\n",
      "  Downloading regex-2022.7.25-cp36-cp36m-win_amd64.whl (274 kB)\n",
      "Collecting addict\n",
      "  Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)\n",
      "Requirement already satisfied: packaging in d:\\anaconda\\envs\\py36\\lib\\site-packages (from mmcv-full) (21.3)\n",
      "Requirement already satisfied: pyyaml in d:\\anaconda\\envs\\py36\\lib\\site-packages (from mmcv-full) (6.0)\n",
      "Requirement already satisfied: numpy in d:\\anaconda\\envs\\py36\\lib\\site-packages (from mmcv-full) (1.19.5)\n",
      "Requirement already satisfied: Pillow in d:\\anaconda\\envs\\py36\\lib\\site-packages (from mmcv-full) (8.4.0)\n",
      "Collecting yapf\n",
      "  Downloading yapf-0.32.0-py2.py3-none-any.whl (190 kB)\n",
      "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in d:\\anaconda\\envs\\py36\\lib\\site-packages (from packaging->mmcv-full) (3.0.7)\n",
      "Installing collected packages: yapf, regex, addict, mmcv-full\n",
      "Successfully installed addict-2.4.0 mmcv-full-1.6.1 regex-2022.7.25 yapf-0.32.0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution -ip (d:\\anaconda\\envs\\py36\\lib\\site-packages)\n"
     ]
    }
   ],
   "source": [
    "!pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10.0/index.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "62c5a4a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-08-13 16:37:37--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/SimHei.ttf\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 10050868 (9.6M) [application/x-font-ttf]\n",
      "Saving to: 'SimHei.ttf'\n",
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      "  1500K .......... .......... .......... .......... .......... 15% 1.09M 48s\n",
      "  1550K .......... .......... .......... .......... .......... 16%  518K 47s\n",
      "  1600K .......... .......... .......... .......... .......... 16%  329K 46s\n",
      "  1650K .......... .......... .......... .......... .......... 17%  609K 44s\n",
      "  1700K .......... .......... .......... .......... .......... 17%  246K 44s\n",
      "  1750K .......... .......... .......... .......... .......... 18% 1.27M 42s\n",
      "  1800K .......... .......... .......... .......... .......... 18%  511K 42s\n",
      "  1850K .......... .......... .......... .......... .......... 19%  604K 41s\n",
      "  1900K .......... .......... .......... .......... .......... 19%  612K 40s\n",
      "  1950K .......... .......... .......... .......... .......... 20%  687K 39s\n",
      "  2000K .......... .......... .......... .......... .......... 20%  538K 38s\n",
      "  2050K .......... .......... .......... .......... .......... 21%  524K 37s\n",
      "  2100K .......... .......... .......... .......... .......... 21%  715K 36s\n",
      "  2150K .......... .......... .......... .......... .......... 22%  772K 35s\n",
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      "  2500K .......... .......... .......... .......... .......... 25%  148M 31s\n",
      "  2550K .......... .......... .......... .......... .......... 26%  571K 30s\n",
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      "  3150K .......... .......... .......... .......... .......... 32% 1.78M 24s\n",
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      "  7950K .......... .......... .......... .......... .......... 81% 2.17M 3s\n",
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      "  8200K .......... .......... .......... .......... .......... 84% 1.93M 3s\n",
      "  8250K .......... .......... .......... .......... .......... 84% 1.21M 3s\n",
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      "  8450K .......... .......... .......... .......... .......... 86% 1.23M 2s\n",
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      "  8650K .......... .......... .......... .......... .......... 88% 1.76M 2s\n",
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      "  8900K .......... .......... .......... .......... .......... 91% 83.6K 2s\n",
      "  8950K .......... .......... .......... .......... .......... 91% 42.1K 2s\n",
      "  9000K .......... .......... .......... .......... .......... 92% 65.7K 2s\n",
      "  9050K .......... .......... .......... .......... .......... 92%  110K 2s\n",
      "  9100K .......... .......... .......... .......... .......... 93% 67.4K 2s\n",
      "  9150K .......... .......... .......... .......... .......... 93%  151K 1s\n",
      "  9200K .......... .......... .......... .......... .......... 94%  216K 1s\n",
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      "  9600K .......... .......... .......... .......... .......... 98%  347K 0s\n",
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      "  9750K .......... .......... .......... .......... .......... 99%  433K 0s\n",
      "  9800K .......... .....                                      100%  611K=23s\n",
      "\n",
      "2022-08-13 16:38:01 (422 KB/s) - 'SimHei.ttf' saved [10050868/10050868]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/SimHei.ttf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "76dfd481",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8a4bce78",
   "metadata": {},
   "outputs": [],
   "source": [
    "os.mkdir('test_img')\n",
    "os.mkdir('output')\n",
    "os.mkdir('checkpoints')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9718181e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-08-13 16:42:31--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/watermelon1.jpg\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 429666 (420K) [image/jpeg]\n",
      "Saving to: 'test_img/watermelon1.jpg'\n",
      "\n",
      "     0K .......... .......... .......... .......... .......... 11%  407K 1s\n",
      "    50K .......... .......... .......... .......... .......... 23% 1.09M 1s\n",
      "   100K .......... .......... .......... .......... .......... 35% 1.17M 0s\n",
      "   150K .......... .......... .......... .......... .......... 47% 4.43M 0s\n",
      "   200K .......... .......... .......... .......... .......... 59% 4.96M 0s\n",
      "   250K .......... .......... .......... .......... .......... 71%  794K 0s\n",
      "   300K .......... .......... .......... .......... .......... 83% 1.54M 0s\n",
      "   350K .......... .......... .......... .......... .......... 95% 6.83M 0s\n",
      "   400K .......... .........                                  100% 29.7M=0.3s\n",
      "\n",
      "2022-08-13 16:42:32 (1.23 MB/s) - 'test_img/watermelon1.jpg' saved [429666/429666]\n",
      "\n",
      "--2022-08-13 16:42:32--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/banana1.jpg\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 463879 (453K) [image/jpeg]\n",
      "Saving to: 'test_img/banana1.jpg'\n",
      "\n",
      "     0K .......... .......... .......... .......... .......... 11%  494K 1s\n",
      "    50K .......... .......... .......... .......... .......... 22% 1.00M 1s\n",
      "   100K .......... .......... .......... .......... .......... 33% 1.68M 0s\n",
      "   150K .......... .......... .......... .......... .......... 44%  809K 0s\n",
      "   200K .......... .......... .......... .......... .......... 55% 4.64M 0s\n",
      "   250K .......... .......... .......... .......... .......... 66% 5.55M 0s\n",
      "   300K .......... .......... .......... .......... .......... 77%  772K 0s\n",
      "   350K .......... .......... .......... .......... .......... 88% 2.04M 0s\n",
      "   400K .......... .......... .......... .......... .......... 99% 9.31M 0s\n",
      "   450K ...                                                   100% 57.4G=0.4s\n",
      "\n",
      "2022-08-13 16:42:33 (1.25 MB/s) - 'test_img/banana1.jpg' saved [463879/463879]\n",
      "\n",
      "--2022-08-13 16:42:33--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/cat1.jpg\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 34701 (34K) [image/jpeg]\n",
      "Saving to: 'test_img/cat1.jpg'\n",
      "\n",
      "     0K .......... .......... .......... ...                  100%  398K=0.09s\n",
      "\n",
      "2022-08-13 16:42:33 (398 KB/s) - 'test_img/cat1.jpg' saved [34701/34701]\n",
      "\n",
      "--2022-08-13 16:42:33--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/video_2.mp4\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 58635218 (56M) [video/mp4]\n",
      "Saving to: 'test_img/video_2.mp4'\n",
      "\n",
      "     0K .......... .......... .......... .......... ..........  0%  357K 2m40s\n",
      "    50K .......... .......... .......... .......... ..........  0%  753K 1m58s\n",
      "   100K .......... .......... .......... .......... ..........  0%  192K 2m58s\n",
      "   150K .......... .......... .......... .......... ..........  0%  927K 2m29s\n",
      "   200K .......... .......... .......... .......... ..........  0% 1.15M 2m8s\n",
      "   250K .......... .......... .......... .......... ..........  0%  866K 1m58s\n",
      "   300K .......... .......... .......... .......... ..........  0%  942K 1m50s\n",
      "   350K .......... .......... .......... .......... ..........  0% 1.15M 1m42s\n",
      "   400K .......... .......... .......... .......... ..........  0%  491K 1m43s\n",
      "   450K .......... .......... .......... .......... ..........  0% 11.6M 93s\n",
      "   500K .......... .......... .......... .......... ..........  0%  952K 90s\n",
      "   550K .......... .......... .......... .......... ..........  1% 1.15M 87s\n",
      "   600K .......... .......... .......... .......... ..........  1% 1.15M 84s\n",
      "   650K .......... .......... .......... .......... ..........  1% 1.20M 81s\n",
      "   700K .......... .......... .......... .......... ..........  1% 1.14M 79s\n",
      "   750K .......... .......... .......... .......... ..........  1% 1.06M 77s\n",
      "   800K .......... .......... .......... .......... ..........  1% 1.32M 75s\n",
      "   850K .......... .......... .......... .......... ..........  1% 1.18M 73s\n",
      "   900K .......... .......... .......... .......... ..........  1% 1.28M 71s\n",
      "   950K .......... .......... .......... .......... ..........  1% 2.09M 69s\n",
      "  1000K .......... .......... .......... .......... ..........  1%  956K 69s\n",
      "  1050K .......... .......... .......... .......... ..........  1% 1.63M 67s\n",
      "  1100K .......... .......... .......... .......... ..........  2% 1.58M 66s\n",
      "  1150K .......... .......... .......... .......... ..........  2% 1.10M 65s\n",
      "  1200K .......... .......... .......... .......... ..........  2% 1.64M 63s\n",
      "  1250K .......... .......... .......... .......... ..........  2% 1.30M 63s\n",
      "  1300K .......... .......... .......... .......... ..........  2% 2.43M 61s\n",
      "  1350K .......... .......... .......... .......... ..........  2%  886K 61s\n",
      "  1400K .......... .......... .......... .......... ..........  2% 1.97M 60s\n",
      "  1450K .......... .......... .......... .......... ..........  2%  811K 60s\n",
      "  1500K .......... .......... .......... .......... ..........  2% 2.03M 59s\n",
      "  1550K .......... .......... .......... .......... ..........  2% 1.51M 58s\n",
      "  1600K .......... .......... .......... .......... ..........  2% 1.47M 58s\n",
      "  1650K .......... .......... .......... .......... ..........  2% 2.09M 57s\n",
      "  1700K .......... .......... .......... .......... ..........  3% 1.47M 56s\n",
      "  1750K .......... .......... .......... .......... ..........  3%  744K 56s\n",
      "  1800K .......... .......... .......... .......... ..........  3% 1.78M 56s\n",
      "  1850K .......... .......... .......... .......... ..........  3% 1.02M 56s\n",
      "  1900K .......... .......... .......... .......... ..........  3% 1.86M 55s\n",
      "  1950K .......... .......... .......... .......... ..........  3%  583K 56s\n",
      "  2000K .......... .......... .......... .......... ..........  3% 3.20M 55s\n",
      "  2050K .......... .......... .......... .......... ..........  3% 2.42M 54s\n",
      "  2100K .......... .......... .......... .......... ..........  3% 1.34M 54s\n",
      "  2150K .......... .......... .......... .......... ..........  3% 2.03M 53s\n",
      "  2200K .......... .......... .......... .......... ..........  3% 1.97M 52s\n",
      "  2250K .......... .......... .......... .......... ..........  4% 1.53M 52s\n",
      "  2300K .......... .......... .......... .......... ..........  4% 2.42M 51s\n",
      "  2350K .......... .......... .......... .......... ..........  4% 2.44M 51s\n",
      "  2400K .......... .......... .......... .......... ..........  4% 1.56M 50s\n",
      "  2450K .......... .......... .......... .......... ..........  4%  735K 51s\n",
      "  2500K .......... .......... .......... .......... ..........  4% 1.91M 50s\n",
      "  2550K .......... .......... .......... .......... ..........  4% 2.01M 50s\n",
      "  2600K .......... .......... .......... .......... ..........  4% 1.64M 49s\n",
      "  2650K .......... .......... .......... .......... ..........  4% 1.87M 49s\n",
      "  2700K .......... .......... .......... .......... ..........  4% 1.82M 48s\n",
      "  2750K .......... .......... .......... .......... ..........  4% 1.82M 48s\n",
      "  2800K .......... .......... .......... .......... ..........  4%  929K 48s\n",
      "  2850K .......... .......... .......... .......... ..........  5% 4.74M 47s\n",
      "  2900K .......... .......... .......... .......... ..........  5% 3.23M 47s\n",
      "  2950K .......... .......... .......... .......... ..........  5% 1.91M 47s\n",
      "  3000K .......... .......... .......... .......... ..........  5% 1.77M 46s\n",
      "  3050K .......... .......... .......... .......... ..........  5% 2.11M 46s\n",
      "  3100K .......... .......... .......... .......... ..........  5% 2.69M 45s\n",
      "  3150K .......... .......... .......... .......... ..........  5% 1.86M 45s\n",
      "  3200K .......... .......... .......... .......... ..........  5% 1.69M 45s\n",
      "  3250K .......... .......... .......... .......... ..........  5%  547K 46s\n",
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      "  3400K .......... .......... .......... .......... ..........  6%  351M 44s\n",
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      "  3650K .......... .......... .......... .......... ..........  6%  385M 42s\n",
      "  3700K .......... .......... .......... .......... ..........  6% 14.7M 41s\n",
      "  3750K .......... .......... .......... .......... ..........  6% 2.23M 41s\n",
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      "  3900K .......... .......... .......... .......... ..........  6% 2.74M 40s\n",
      "  3950K .......... .......... .......... .......... ..........  6% 2.44M 40s\n",
      "  4000K .......... .......... .......... .......... ..........  7%  555K 41s\n",
      "  4050K .......... .......... .......... .......... ..........  7%  676M 40s\n",
      "  4100K .......... .......... .......... .......... ..........  7%  434M 40s\n",
      "  4150K .......... .......... .......... .......... ..........  7%  734M 39s\n",
      "  4200K .......... .......... .......... .......... ..........  7% 12.5M 39s\n",
      "  4250K .......... .......... .......... .......... ..........  7% 1.83M 38s\n",
      "  4300K .......... .......... .......... .......... ..........  7% 5.16M 38s\n",
      "  4350K .......... .......... .......... .......... ..........  7% 2.82M 38s\n",
      "  4400K .......... .......... .......... .......... ..........  7% 2.02M 38s\n",
      "  4450K .......... .......... .......... .......... ..........  7% 3.29M 37s\n",
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      "  4550K .......... .......... .......... .......... ..........  8% 2.20M 37s\n",
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      "  4700K .......... .......... .......... .......... ..........  8% 3.16M 36s\n",
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      "  5150K .......... .......... .......... .......... ..........  9% 1.61M 35s\n",
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      "  5250K .......... .......... .......... .......... ..........  9% 1.20M 35s\n",
      "  5300K .......... .......... .......... .......... ..........  9% 2.33M 35s\n",
      "  5350K .......... .......... .......... .......... ..........  9% 6.36M 34s\n",
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      "  5950K .......... .......... .......... .......... .......... 10% 3.42M 32s\n",
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      "  6050K .......... .......... .......... .......... .......... 10% 6.11M 32s\n",
      "  6100K .......... .......... .......... .......... .......... 10% 4.37M 32s\n",
      "  6150K .......... .......... .......... .......... .......... 10% 4.53M 32s\n",
      "  6200K .......... .......... .......... .......... .......... 10% 2.16M 32s\n",
      "  6250K .......... .......... .......... .......... .......... 11% 3.21M 32s\n",
      "  6300K .......... .......... .......... .......... .......... 11% 1.46M 32s\n",
      "  6350K .......... .......... .......... .......... .......... 11% 3.51M 31s\n",
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      "  7250K .......... .......... .......... .......... .......... 12% 2.61M 30s\n",
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      "  7800K .......... .......... .......... .......... .......... 13%  655K 31s\n",
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      "  8000K .......... .......... .......... .......... .......... 14% 10.5M 31s\n",
      "  8050K .......... .......... .......... .......... .......... 14% 4.52M 30s\n",
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      "  8600K .......... .......... .......... .......... .......... 15% 2.44M 30s\n",
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      "  8850K .......... .......... .......... .......... .......... 15% 10.0M 30s\n",
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      "  9700K .......... .......... .......... .......... .......... 17% 71.1M 29s\n",
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      " 10000K .......... .......... .......... .......... .......... 17%  294M 28s\n",
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      " 10300K .......... .......... .......... .......... .......... 18% 30.0M 28s\n",
      " 10350K .......... .......... .......... .......... .......... 18% 99.4M 28s\n",
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      " 11850K .......... .......... .......... .......... .......... 20% 2.18M 27s\n",
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      " 12200K .......... .......... .......... .......... .......... 21% 5.38M 26s\n",
      " 12250K .......... .......... .......... .......... .......... 21% 1.75M 26s\n",
      " 12300K .......... .......... .......... .......... .......... 21% 4.30M 26s\n",
      " 12350K .......... .......... .......... .......... .......... 21% 2.90M 26s\n",
      " 12400K .......... .......... .......... .......... .......... 21%  873K 26s\n",
      " 12450K .......... .......... .......... .......... .......... 21% 4.07M 26s\n",
      " 12500K .......... .......... .......... .......... .......... 21% 2.03M 26s\n",
      " 12550K .......... .......... .......... .......... .......... 22%  854K 26s\n",
      " 12600K .......... .......... .......... .......... .......... 22% 3.58M 26s\n",
      " 12650K .......... .......... .......... .......... .......... 22% 2.57M 26s\n",
      " 12700K .......... .......... .......... .......... .......... 22% 2.19M 26s\n",
      " 12750K .......... .......... .......... .......... .......... 22% 1.22M 26s\n",
      " 12800K .......... .......... .......... .......... .......... 22% 1.83M 26s\n",
      " 12850K .......... .......... .......... .......... .......... 22% 2.34M 26s\n",
      " 12900K .......... .......... .......... .......... .......... 22% 2.17M 26s\n",
      " 12950K .......... .......... .......... .......... .......... 22% 2.51M 26s\n",
      " 13000K .......... .......... .......... .......... .......... 22% 2.15M 26s\n",
      " 13050K .......... .......... .......... .......... .......... 22% 5.07M 26s\n",
      " 13100K .......... .......... .......... .......... .......... 22% 1.36M 26s\n",
      " 13150K .......... .......... .......... .......... .......... 23% 22.7M 25s\n",
      " 13200K .......... .......... .......... .......... .......... 23% 1.49M 25s\n",
      " 13250K .......... .......... .......... .......... .......... 23% 1.66M 25s\n",
      " 13300K .......... .......... .......... .......... .......... 23%  115K 27s\n",
      " 13350K .......... .......... .......... .......... .......... 23% 55.7K 29s\n",
      " 13400K .......... .......... .......... .......... .......... 23%  275M 29s\n",
      " 13450K .......... .......... .......... .......... .......... 23% 65.1K 32s\n",
      " 13500K .......... .......... .......... .......... .......... 23%  237M 32s\n",
      " 13550K .......... .......... .......... .......... .......... 23% 68.1K 34s\n",
      " 13600K .......... .......... .......... .......... .......... 23%  123K 35s\n",
      " 13650K .......... .......... .......... .......... .......... 23% 77.6K 37s\n",
      " 13700K .......... .......... .......... .......... .......... 24% 66.5K 39s\n",
      " 13750K .......... .......... .......... .......... .......... 24%  111K 40s\n",
      " 13800K .......... .......... .......... .......... .......... 24%  135K 41s\n",
      " 13850K .......... .......... .......... .......... .......... 24%  173K 42s\n",
      " 13900K .......... .......... .......... .......... .......... 24%  195K 42s\n",
      " 13950K .......... .......... .......... .......... .......... 24%  336K 43s\n",
      " 14000K .......... .......... .......... .......... .......... 24%  520K 43s\n",
      " 14050K .......... .......... .......... .......... .......... 24%  644K 43s\n",
      " 14100K .......... .......... .......... .......... .......... 24%  733K 43s\n",
      " 14150K .......... .......... .......... .......... .......... 24%  777K 43s\n",
      " 14200K .......... .......... .......... .......... .......... 24%  628K 43s\n",
      " 14250K .......... .......... .......... .......... .......... 24%  768K 43s\n",
      " 14300K .......... .......... .......... .......... .......... 25%  828K 43s\n",
      " 14350K .......... .......... .......... .......... .......... 25%  788K 43s\n",
      " 14400K .......... .......... .......... .......... .......... 25%  865K 43s\n",
      " 14450K .......... .......... .......... .......... .......... 25% 1.20M 43s\n",
      " 14500K .......... .......... .......... .......... .......... 25%  931K 43s\n",
      " 14550K .......... .......... .......... .......... .......... 25% 1.03M 43s\n",
      " 14600K .......... .......... .......... .......... .......... 25%  904K 43s\n",
      " 14650K .......... .......... .......... .......... .......... 25%  523K 43s\n",
      " 14700K .......... .......... .......... .......... .......... 25% 2.67M 43s\n",
      " 14750K .......... .......... .......... .......... .......... 25%  857K 43s\n",
      " 14800K .......... .......... .......... .......... .......... 25% 1.02M 42s\n",
      " 14850K .......... .......... .......... .......... .......... 26% 1.14M 42s\n",
      " 14900K .......... .......... .......... .......... .......... 26% 1.45M 42s\n",
      " 14950K .......... .......... .......... .......... .......... 26% 1.45M 42s\n",
      " 15000K .......... .......... .......... .......... .......... 26% 1.00M 42s\n",
      " 15050K .......... .......... .......... .......... .......... 26% 1.44M 42s\n",
      " 15100K .......... .......... .......... .......... .......... 26%  892K 42s\n",
      " 15150K .......... .......... .......... .......... .......... 26% 2.69M 42s\n",
      " 15200K .......... .......... .......... .......... .......... 26% 1.33M 42s\n",
      " 15250K .......... .......... .......... .......... .......... 26% 1.02M 42s\n",
      " 15300K .......... .......... .......... .......... .......... 26% 2.35M 42s\n",
      " 15350K .......... .......... .......... .......... .......... 26% 1.65M 42s\n",
      " 15400K .......... .......... .......... .......... .......... 26% 1.13M 41s\n",
      " 15450K .......... .......... .......... .......... .......... 27% 2.92M 41s\n",
      " 15500K .......... .......... .......... .......... .......... 27% 1.77M 41s\n",
      " 15550K .......... .......... .......... .......... .......... 27% 1.39M 41s\n",
      " 15600K .......... .......... .......... .......... .......... 27% 1.75M 41s\n",
      " 15650K .......... .......... .......... .......... .......... 27% 1.80M 41s\n",
      " 15700K .......... .......... .......... .......... .......... 27% 1.74M 41s\n",
      " 15750K .......... .......... .......... .......... .......... 27% 1.37M 41s\n",
      " 15800K .......... .......... .......... .......... .......... 27% 1.94M 41s\n",
      " 15850K .......... .......... .......... .......... .......... 27% 1.78M 40s\n",
      " 15900K .......... .......... .......... .......... .......... 27% 1.72M 40s\n",
      " 15950K .......... .......... .......... .......... .......... 27%  469K 40s\n",
      " 16000K .......... .......... .......... .......... .......... 28%  112M 40s\n",
      " 16050K .......... .......... .......... .......... .......... 28%  334M 40s\n",
      " 16100K .......... .......... .......... .......... .......... 28%  163M 40s\n",
      " 16150K .......... .......... .......... .......... .......... 28% 27.3M 40s\n",
      " 16200K .......... .......... .......... .......... .......... 28% 1.38M 40s\n",
      " 16250K .......... .......... .......... .......... .......... 28% 3.10M 40s\n",
      " 16300K .......... .......... .......... .......... .......... 28% 2.66M 39s\n",
      " 16350K .......... .......... .......... .......... .......... 28% 2.28M 39s\n",
      " 16400K .......... .......... .......... .......... .......... 28%  473K 39s\n",
      " 16450K .......... .......... .......... .......... .......... 28%  453M 39s\n",
      " 16500K .......... .......... .......... .......... .......... 28%  292M 39s\n",
      " 16550K .......... .......... .......... .......... .......... 28%  355M 39s\n",
      " 16600K .......... .......... .......... .......... .......... 29% 4.15M 39s\n",
      " 16650K .......... .......... .......... .......... .......... 29% 1.91M 39s\n",
      " 16700K .......... .......... .......... .......... .......... 29% 3.23M 39s\n",
      " 16750K .......... .......... .......... .......... .......... 29% 2.26M 38s\n",
      " 16800K .......... .......... .......... .......... .......... 29% 2.37M 38s\n",
      " 16850K .......... .......... .......... .......... .......... 29% 2.32M 38s\n",
      " 16900K .......... .......... .......... .......... .......... 29%  208K 39s\n",
      " 16950K .......... .......... .......... .......... .......... 29%  390M 39s\n",
      " 17000K .......... .......... .......... .......... .......... 29%  242M 38s\n",
      " 17050K .......... .......... .......... .......... .......... 29%  281M 38s\n",
      " 17100K .......... .......... .......... .......... .......... 29%  675M 38s\n",
      " 17150K .......... .......... .......... .......... .......... 30% 4.67M 38s\n",
      " 17200K .......... .......... .......... .......... .......... 30%  464K 38s\n",
      " 17250K .......... .......... .......... .......... .......... 30%  140M 38s\n",
      " 17300K .......... .......... .......... .......... .......... 30%  685M 38s\n",
      " 17350K .......... .......... .......... .......... .......... 30% 1.03M 38s\n",
      " 17400K .......... .......... .......... .......... .......... 30% 2.23M 38s\n",
      " 17450K .......... .......... .......... .......... .......... 30% 1.72M 37s\n",
      " 17500K .......... .......... .......... .......... .......... 30% 4.25M 37s\n",
      " 17550K .......... .......... .......... .......... .......... 30% 3.78M 37s\n",
      " 17600K .......... .......... .......... .......... .......... 30% 1.12M 37s\n",
      " 17650K .......... .......... .......... .......... .......... 30% 1.78M 37s\n",
      " 17700K .......... .......... .......... .......... .......... 30% 2.21M 37s\n",
      " 17750K .......... .......... .......... .......... .......... 31% 7.20M 37s\n",
      " 17800K .......... .......... .......... .......... .......... 31% 2.16M 37s\n",
      " 17850K .......... .......... .......... .......... .......... 31% 1.15M 37s\n",
      " 17900K .......... .......... .......... .......... .......... 31% 4.42M 37s\n",
      " 17950K .......... .......... .......... .......... .......... 31%  575K 37s\n",
      " 18000K .......... .......... .......... .......... .......... 31%  585M 36s\n",
      " 18050K .......... .......... .......... .......... .......... 31%  299M 36s\n",
      " 18100K .......... .......... .......... .......... .......... 31%  718M 36s\n",
      " 18150K .......... .......... .......... .......... .......... 31% 3.11M 36s\n",
      " 18200K .......... .......... .......... .......... .......... 31% 1.23M 36s\n",
      " 18250K .......... .......... .......... .......... .......... 31% 1.37M 36s\n",
      " 18300K .......... .......... .......... .......... .......... 32% 6.33M 36s\n",
      " 18350K .......... .......... .......... .......... .......... 32% 6.44M 36s\n",
      " 18400K .......... .......... .......... .......... .......... 32% 3.34M 36s\n",
      " 18450K .......... .......... .......... .......... .......... 32% 3.80M 35s\n",
      " 18500K .......... .......... .......... .......... .......... 32%  745K 35s\n",
      " 18550K .......... .......... .......... .......... .......... 32% 4.66M 35s\n",
      " 18600K .......... .......... .......... .......... .......... 32% 2.31M 35s\n",
      " 18650K .......... .......... .......... .......... .......... 32% 3.61M 35s\n",
      " 18700K .......... .......... .......... .......... .......... 32% 3.02M 35s\n",
      " 18750K .......... .......... .......... .......... .......... 32% 1.58M 35s\n",
      " 18800K .......... .......... .......... .......... .......... 32% 2.52M 35s\n",
      " 18850K .......... .......... .......... .......... .......... 33% 17.2M 35s\n",
      " 18900K .......... .......... .......... .......... .......... 33% 4.61M 35s\n",
      " 18950K .......... .......... .......... .......... .......... 33% 2.24M 34s\n",
      " 19000K .......... .......... .......... .......... .......... 33% 4.10M 34s\n",
      " 19050K .......... .......... .......... .......... .......... 33%  994K 34s\n",
      " 19100K .......... .......... .......... .......... .......... 33% 4.74M 34s\n",
      " 19150K .......... .......... .......... .......... .......... 33% 5.12M 34s\n",
      " 19200K .......... .......... .......... .......... .......... 33% 3.62M 34s\n",
      " 19250K .......... .......... .......... .......... .......... 33% 1.22M 34s\n",
      " 19300K .......... .......... .......... .......... .......... 33% 1.32M 34s\n",
      " 19350K .......... .......... .......... .......... .......... 33% 7.88M 34s\n",
      " 19400K .......... .......... .......... .......... .......... 33% 6.75M 34s\n",
      " 19450K .......... .......... .......... .......... .......... 34% 1.43M 34s\n",
      " 19500K .......... .......... .......... .......... .......... 34% 6.26M 33s\n",
      " 19550K .......... .......... .......... .......... .......... 34% 1.90M 33s\n",
      " 19600K .......... .......... .......... .......... .......... 34% 1.17M 33s\n",
      " 19650K .......... .......... .......... .......... .......... 34% 14.8M 33s\n",
      " 19700K .......... .......... .......... .......... .......... 34% 5.82M 33s\n",
      " 19750K .......... .......... .......... .......... .......... 34% 2.25M 33s\n",
      " 19800K .......... .......... .......... .......... .......... 34%  505K 33s\n",
      " 19850K .......... .......... .......... .......... .......... 34%  461M 33s\n",
      " 19900K .......... .......... .......... .......... .......... 34%  756M 33s\n",
      " 19950K .......... .......... .......... .......... .......... 34%  613M 33s\n",
      " 20000K .......... .......... .......... .......... .......... 35%  235M 33s\n",
      " 20050K .......... .......... .......... .......... .......... 35% 3.38M 32s\n",
      " 20100K .......... .......... .......... .......... .......... 35%  607K 32s\n",
      " 20150K .......... .......... .......... .......... .......... 35%  703M 32s\n",
      " 20200K .......... .......... .......... .......... .......... 35%  436M 32s\n",
      " 20250K .......... .......... .......... .......... .......... 35%  684M 32s\n",
      " 20300K .......... .......... .......... .......... .......... 35%  722M 32s\n",
      " 20350K .......... .......... .......... .......... .......... 35% 4.18M 32s\n",
      " 20400K .......... .......... .......... .......... .......... 35% 1.05M 32s\n",
      " 20450K .......... .......... .......... .......... .......... 35% 5.99M 32s\n",
      " 20500K .......... .......... .......... .......... .......... 35% 4.31M 32s\n",
      " 20550K .......... .......... .......... .......... .......... 35% 6.08M 32s\n",
      " 20600K .......... .......... .......... .......... .......... 36% 4.63M 31s\n",
      " 20650K .......... .......... .......... .......... .......... 36% 2.50M 31s\n",
      " 20700K .......... .......... .......... .......... .......... 36%  519K 31s\n",
      " 20750K .......... .......... .......... .......... .......... 36%  583M 31s\n",
      " 20800K .......... .......... .......... .......... .......... 36%  576M 31s\n",
      " 20850K .......... .......... .......... .......... .......... 36%  579M 31s\n",
      " 20900K .......... .......... .......... .......... .......... 36%  732M 31s\n",
      " 20950K .......... .......... .......... .......... .......... 36%  736M 31s\n",
      " 21000K .......... .......... .......... .......... .......... 36% 1.92M 31s\n",
      " 21050K .......... .......... .......... .......... .......... 36% 8.64M 31s\n",
      " 21100K .......... .......... .......... .......... .......... 36% 3.33M 31s\n",
      " 21150K .......... .......... .......... .......... .......... 37% 3.79M 30s\n",
      " 21200K .......... .......... .......... .......... .......... 37% 2.70M 30s\n",
      " 21250K .......... .......... .......... .......... .......... 37% 3.51M 30s\n",
      " 21300K .......... .......... .......... .......... .......... 37% 2.89M 30s\n",
      " 21350K .......... .......... .......... .......... .......... 37% 2.04M 30s\n",
      " 21400K .......... .......... .......... .......... .......... 37% 4.21M 30s\n",
      " 21450K .......... .......... .......... .......... .......... 37% 3.61M 30s\n",
      " 21500K .......... .......... .......... .......... .......... 37% 6.62M 30s\n",
      " 21550K .......... .......... .......... .......... .......... 37% 3.72M 30s\n",
      " 21600K .......... .......... .......... .......... .......... 37% 3.29M 30s\n",
      " 21650K .......... .......... .......... .......... .......... 37% 2.89M 30s\n",
      " 21700K .......... .......... .......... .......... .......... 37%  352K 30s\n",
      " 21750K .......... .......... .......... .......... .......... 38% 74.3M 30s\n",
      " 21800K .......... .......... .......... .......... .......... 38%  146M 29s\n",
      " 21850K .......... .......... .......... .......... .......... 38%  127M 29s\n",
      " 21900K .......... .......... .......... .......... .......... 38%  153M 29s\n",
      " 21950K .......... .......... .......... .......... .......... 38%  176M 29s\n",
      " 22000K .......... .......... .......... .......... .......... 38% 96.6M 29s\n",
      " 22050K .......... .......... .......... .......... .......... 38% 3.10M 29s\n",
      " 22100K .......... .......... .......... .......... .......... 38% 1.61M 29s\n",
      " 22150K .......... .......... .......... .......... .......... 38% 11.4M 29s\n",
      " 22200K .......... .......... .......... .......... .......... 38%  117K 29s\n",
      " 22250K .......... .......... .......... .......... .......... 38%  209M 29s\n",
      " 22300K .......... .......... .......... .......... .......... 39%  156M 29s\n",
      " 22350K .......... .......... .......... .......... .......... 39%  389M 29s\n",
      " 22400K .......... .......... .......... .......... .......... 39%  136K 30s\n",
      " 22450K .......... .......... .......... .......... .......... 39%  771K 30s\n",
      " 22500K .......... .......... .......... .......... .......... 39%  111M 29s\n",
      " 22550K .......... .......... .......... .......... .......... 39%  186M 29s\n",
      " 22600K .......... .......... .......... .......... .......... 39%  134M 29s\n",
      " 22650K .......... .......... .......... .......... .......... 39% 53.9K 31s\n",
      " 22700K .......... .......... .......... .......... .......... 39%  328K 31s\n",
      " 22750K .......... .......... .......... .......... .......... 39% 9.33M 31s\n",
      " 22800K .......... .......... .......... .......... .......... 39%  550M 30s\n",
      " 22850K .......... .......... .......... .......... .......... 39%  715M 30s\n",
      " 22900K .......... .......... .......... .......... .......... 40%  663K 30s\n",
      " 22950K .......... .......... .......... .......... .......... 40%  911K 30s\n",
      " 23000K .......... .......... .......... .......... .......... 40%  118M 30s\n",
      " 23050K .......... .......... .......... .......... .......... 40%  111M 30s\n",
      " 23100K .......... .......... .......... .......... .......... 40% 1.36M 30s\n",
      " 23150K .......... .......... .......... .......... .......... 40%  429K 30s\n",
      " 23200K .......... .......... .......... .......... .......... 40% 71.4K 31s\n",
      " 23250K .......... .......... .......... .......... .......... 40%  584M 31s\n",
      " 23300K .......... .......... .......... .......... .......... 40%  342M 31s\n",
      " 23350K .......... .......... .......... .......... .......... 40%  650M 31s\n",
      " 23400K .......... .......... .......... .......... .......... 40%  294M 31s\n",
      " 23450K .......... .......... .......... .......... .......... 41%  334M 30s\n",
      " 23500K .......... .......... .......... .......... .......... 41%  370M 30s\n",
      " 23550K .......... .......... .......... .......... .......... 41% 1.91M 30s\n",
      " 23600K .......... .......... .......... .......... .......... 41% 1.52M 30s\n",
      " 23650K .......... .......... .......... .......... .......... 41%  388M 30s\n",
      " 23700K .......... .......... .......... .......... .......... 41%  751M 30s\n",
      " 23750K .......... .......... .......... .......... .......... 41%  441M 30s\n",
      " 23800K .......... .......... .......... .......... .......... 41%  317M 30s\n",
      " 23850K .......... .......... .......... .......... .......... 41%  587K 30s\n",
      " 23900K .......... .......... .......... .......... .......... 41%  429M 30s\n",
      " 23950K .......... .......... .......... .......... .......... 41%  379M 30s\n",
      " 24000K .......... .......... .......... .......... .......... 42%  571M 29s\n",
      " 24050K .......... .......... .......... .......... .......... 42%  204M 29s\n",
      " 24100K .......... .......... .......... .......... .......... 42%  672M 29s\n",
      " 24150K .......... .......... .......... .......... .......... 42%  777K 29s\n",
      " 24200K .......... .......... .......... .......... .......... 42% 4.09M 29s\n",
      " 24250K .......... .......... .......... .......... .......... 42%  126M 29s\n",
      " 24300K .......... .......... .......... .......... .......... 42% 3.59M 29s\n",
      " 24350K .......... .......... .......... .......... .......... 42%  814K 29s\n",
      " 24400K .......... .......... .......... .......... .......... 42% 4.90M 29s\n",
      " 24450K .......... .......... .......... .......... .......... 42%  423K 29s\n",
      " 24500K .......... .......... .......... .......... .......... 42% 2.08M 29s\n",
      " 24550K .......... .......... .......... .......... .......... 42%  710K 29s\n",
      " 24600K .......... .......... .......... .......... .......... 43% 4.28M 29s\n",
      " 24650K .......... .......... .......... .......... .......... 43% 4.42M 29s\n",
      " 24700K .......... .......... .......... .......... .......... 43% 5.21M 29s\n",
      " 24750K .......... .......... .......... .......... .......... 43%  989K 29s\n",
      " 24800K .......... .......... .......... .......... .......... 43% 1.08M 28s\n",
      " 24850K .......... .......... .......... .......... .......... 43% 4.59M 28s\n",
      " 24900K .......... .......... .......... .......... .......... 43%  491K 28s\n",
      " 24950K .......... .......... .......... .......... .......... 43%  117M 28s\n",
      " 25000K .......... .......... .......... .......... .......... 43% 1.42M 28s\n",
      " 25050K .......... .......... .......... .......... .......... 43% 2.71M 28s\n",
      " 25100K .......... .......... .......... .......... .......... 43% 2.67M 28s\n",
      " 25150K .......... .......... .......... .......... .......... 44% 3.24M 28s\n",
      " 25200K .......... .......... .......... .......... .......... 44% 1.59M 28s\n",
      " 25250K .......... .......... .......... .......... .......... 44% 1.94M 28s\n",
      " 25300K .......... .......... .......... .......... .......... 44% 3.90M 28s\n",
      " 25350K .......... .......... .......... .......... .......... 44% 2.55M 28s\n",
      " 25400K .......... .......... .......... .......... .......... 44% 1.88M 28s\n",
      " 25450K .......... .......... .......... .......... .......... 44% 2.49M 28s\n",
      " 25500K .......... .......... .......... .......... .......... 44% 2.67M 28s\n",
      " 25550K .......... .......... .......... .......... .......... 44% 3.60M 27s\n",
      " 25600K .......... .......... .......... .......... .......... 44% 1.87M 27s\n",
      " 25650K .......... .......... .......... .......... .......... 44% 2.78M 27s\n",
      " 25700K .......... .......... .......... .......... .......... 44% 1.98M 27s\n",
      " 25750K .......... .......... .......... .......... .......... 45% 2.66M 27s\n",
      " 25800K .......... .......... .......... .......... .......... 45% 3.49M 27s\n",
      " 25850K .......... .......... .......... .......... .......... 45% 2.35M 27s\n",
      " 25900K .......... .......... .......... .......... .......... 45% 2.41M 27s\n",
      " 25950K .......... .......... .......... .......... .......... 45% 2.69M 27s\n",
      " 26000K .......... .......... .......... .......... .......... 45%  539K 27s\n",
      " 26050K .......... .......... .......... .......... .......... 45%  633M 27s\n",
      " 26100K .......... .......... .......... .......... .......... 45%  425M 27s\n",
      " 26150K .......... .......... .......... .......... .......... 45%  367M 27s\n",
      " 26200K .......... .......... .......... .......... .......... 45%  198M 27s\n",
      " 26250K .......... .......... .......... .......... .......... 45% 2.82M 26s\n",
      " 26300K .......... .......... .......... .......... .......... 46% 2.42M 26s\n",
      " 26350K .......... .......... .......... .......... .......... 46% 3.19M 26s\n",
      " 26400K .......... .......... .......... .......... .......... 46% 3.28M 26s\n",
      " 26450K .......... .......... .......... .......... .......... 46% 2.86M 26s\n",
      " 26500K .......... .......... .......... .......... .......... 46% 2.56M 26s\n",
      " 26550K .......... .......... .......... .......... .......... 46% 2.32M 26s\n",
      " 26600K .......... .......... .......... .......... .......... 46% 2.23M 26s\n",
      " 26650K .......... .......... .......... .......... .......... 46% 5.04M 26s\n",
      " 26700K .......... .......... .......... .......... .......... 46% 3.36M 26s\n",
      " 26750K .......... .......... .......... .......... .......... 46% 4.13M 26s\n",
      " 26800K .......... .......... .......... .......... .......... 46% 1.91M 26s\n",
      " 26850K .......... .......... .......... .......... .......... 46% 1.53M 26s\n",
      " 26900K .......... .......... .......... .......... .......... 47% 5.45M 26s\n",
      " 26950K .......... .......... .......... .......... .......... 47% 3.90M 25s\n",
      " 27000K .......... .......... .......... .......... .......... 47% 2.23M 25s\n",
      " 27050K .......... .......... .......... .......... .......... 47% 3.18M 25s\n",
      " 27100K .......... .......... .......... .......... .......... 47% 3.18M 25s\n",
      " 27150K .......... .......... .......... .......... .......... 47% 3.77M 25s\n",
      " 27200K .......... .......... .......... .......... .......... 47%  104K 26s\n",
      " 27250K .......... .......... .......... .......... .......... 47%  333M 26s\n",
      " 27300K .......... .......... .......... .......... .......... 47%  308M 25s\n",
      " 27350K .......... .......... .......... .......... .......... 47%  658M 25s\n",
      " 27400K .......... .......... .......... .......... .......... 47%  110K 26s\n",
      " 27450K .......... .......... .......... .......... .......... 48%  113K 26s\n",
      " 27500K .......... .......... .......... .......... .......... 48% 82.1K 27s\n",
      " 27550K .......... .......... .......... .......... .......... 48% 82.8K 27s\n",
      " 27600K .......... .......... .......... .......... .......... 48%  166K 27s\n",
      " 27650K .......... .......... .......... .......... .......... 48% 82.4K 28s\n",
      " 27700K .......... .......... .......... .......... .......... 48%  161K 28s\n",
      " 27750K .......... .......... .......... .......... .......... 48% 87.2K 29s\n",
      " 27800K .......... .......... .......... .......... .......... 48% 57.1K 30s\n",
      " 27850K .......... .......... .......... .......... .......... 48%  208K 30s\n",
      " 27900K .......... .......... .......... .......... .......... 48%  284K 30s\n",
      " 27950K .......... .......... .......... .......... .......... 48%  389K 30s\n",
      " 28000K .......... .......... .......... .......... .......... 48%  251K 30s\n",
      " 28050K .......... .......... .......... .......... .......... 49%  444K 30s\n",
      " 28100K .......... .......... .......... .......... .......... 49%  546K 30s\n",
      " 28150K .......... .......... .......... .......... .......... 49%  655K 30s\n",
      " 28200K .......... .......... .......... .......... .......... 49%  559K 30s\n",
      " 28250K .......... .......... .......... .......... .......... 49%  961K 30s\n",
      " 28300K .......... .......... .......... .......... .......... 49%  799K 30s\n",
      " 28350K .......... .......... .......... .......... .......... 49% 1.00M 30s\n",
      " 28400K .......... .......... .......... .......... .......... 49%  754K 30s\n",
      " 28450K .......... .......... .......... .......... .......... 49%  973K 30s\n",
      " 28500K .......... .......... .......... .......... .......... 49%  306K 30s\n",
      " 28550K .......... .......... .......... .......... .......... 49%  494M 30s\n",
      " 28600K .......... .......... .......... .......... .......... 50%  808K 30s\n",
      " 28650K .......... .......... .......... .......... .......... 50% 2.97M 30s\n",
      " 28700K .......... .......... .......... .......... .......... 50%  961K 29s\n",
      " 28750K .......... .......... .......... .......... .......... 50%  278K 30s\n",
      " 28800K .......... .......... .......... .......... .......... 50%  459M 29s\n",
      " 28850K .......... .......... .......... .......... .......... 50% 4.11M 29s\n",
      " 28900K .......... .......... .......... .......... .......... 50%  322K 29s\n",
      " 28950K .......... .......... .......... .......... .......... 50%  142M 29s\n",
      " 29000K .......... .......... .......... .......... .......... 50%  162M 29s\n",
      " 29050K .......... .......... .......... .......... .......... 50% 1.66M 29s\n",
      " 29100K .......... .......... .......... .......... .......... 50% 1.10M 29s\n",
      " 29150K .......... .......... .......... .......... .......... 50% 1.36M 29s\n",
      " 29200K .......... .......... .......... .......... .......... 51% 1.08M 29s\n",
      " 29250K .......... .......... .......... .......... .......... 51%  285K 29s\n",
      " 29300K .......... .......... .......... .......... .......... 51%  254M 29s\n",
      " 29350K .......... .......... .......... .......... .......... 51%  257M 29s\n",
      " 29400K .......... .......... .......... .......... .......... 51%  193M 29s\n",
      " 29450K .......... .......... .......... .......... .......... 51% 2.10M 29s\n",
      " 29500K .......... .......... .......... .......... .......... 51%  879K 29s\n",
      " 29550K .......... .......... .......... .......... .......... 51% 2.13M 29s\n",
      " 29600K .......... .......... .......... .......... .......... 51%  971K 28s\n",
      " 29650K .......... .......... .......... .......... .......... 51% 1.82M 28s\n",
      " 29700K .......... .......... .......... .......... .......... 51% 1.50M 28s\n",
      " 29750K .......... .......... .......... .......... .......... 52% 1.77M 28s\n",
      " 29800K .......... .......... .......... .......... .......... 52% 1.27M 28s\n",
      " 29850K .......... .......... .......... .......... .......... 52% 1.87M 28s\n",
      " 29900K .......... .......... .......... .......... .......... 52%  427K 28s\n",
      " 29950K .......... .......... .......... .......... .......... 52% 2.36M 28s\n",
      " 30000K .......... .......... .......... .......... .......... 52% 14.5M 28s\n",
      " 30050K .......... .......... .......... .......... .......... 52%  753K 28s\n",
      " 30100K .......... .......... .......... .......... .......... 52%  986K 28s\n",
      " 30150K .......... .......... .......... .......... .......... 52% 2.34M 28s\n",
      " 30200K .......... .......... .......... .......... .......... 52% 1.81M 28s\n",
      " 30250K .......... .......... .......... .......... .......... 52% 1.35M 28s\n",
      " 30300K .......... .......... .......... .......... .......... 53% 1.38M 28s\n",
      " 30350K .......... .......... .......... .......... .......... 53% 2.14M 27s\n",
      " 30400K .......... .......... .......... .......... .......... 53% 1.07M 27s\n",
      " 30450K .......... .......... .......... .......... .......... 53% 2.56M 27s\n",
      " 30500K .......... .......... .......... .......... .......... 53% 1.98M 27s\n",
      " 30550K .......... .......... .......... .......... .......... 53% 1.79M 27s\n",
      " 30600K .......... .......... .......... .......... .......... 53% 1.09M 27s\n",
      " 30650K .......... .......... .......... .......... .......... 53% 2.11M 27s\n",
      " 30700K .......... .......... .......... .......... .......... 53% 1.85M 27s\n",
      " 30750K .......... .......... .......... .......... .......... 53% 1.77M 27s\n",
      " 30800K .......... .......... .......... .......... .......... 53% 1.07M 27s\n",
      " 30850K .......... .......... .......... .......... .......... 53% 2.44M 27s\n",
      " 30900K .......... .......... .......... .......... .......... 54% 2.19M 27s\n",
      " 30950K .......... .......... .......... .......... .......... 54% 1.46M 27s\n",
      " 31000K .......... .......... .......... .......... .......... 54%  397K 27s\n",
      " 31050K .......... .......... .......... .......... .......... 54%  398M 27s\n",
      " 31100K .......... .......... .......... .......... .......... 54%  271M 26s\n",
      " 31150K .......... .......... .......... .......... .......... 54%  388M 26s\n",
      " 31200K .......... .......... .......... .......... .......... 54%  279M 26s\n",
      " 31250K .......... .......... .......... .......... .......... 54% 3.02M 26s\n",
      " 31300K .......... .......... .......... .......... .......... 54% 1.93M 26s\n",
      " 31350K .......... .......... .......... .......... .......... 54% 2.59M 26s\n",
      " 31400K .......... .......... .......... .......... .......... 54% 2.14M 26s\n",
      " 31450K .......... .......... .......... .......... .......... 55%  487K 26s\n",
      " 31500K .......... .......... .......... .......... .......... 55%  430M 26s\n",
      " 31550K .......... .......... .......... .......... .......... 55%  463M 26s\n",
      " 31600K .......... .......... .......... .......... .......... 55%  203M 26s\n",
      " 31650K .......... .......... .......... .......... .......... 55%  564K 26s\n",
      " 31700K .......... .......... .......... .......... .......... 55%  157M 26s\n",
      " 31750K .......... .......... .......... .......... .......... 55%  104M 26s\n",
      " 31800K .......... .......... .......... .......... .......... 55%  186M 25s\n",
      " 31850K .......... .......... .......... .......... .......... 55% 2.60M 25s\n",
      " 31900K .......... .......... .......... .......... .......... 55% 1.77M 25s\n",
      " 31950K .......... .......... .......... .......... .......... 55% 2.57M 25s\n",
      " 32000K .......... .......... .......... .......... .......... 55% 2.45M 25s\n",
      " 32050K .......... .......... .......... .......... .......... 56% 2.40M 25s\n",
      " 32100K .......... .......... .......... .......... .......... 56% 2.81M 25s\n",
      " 32150K .......... .......... .......... .......... .......... 56% 1.65M 25s\n",
      " 32200K .......... .......... .......... .......... .......... 56% 3.76M 25s\n",
      " 32250K .......... .......... .......... .......... .......... 56% 2.60M 25s\n",
      " 32300K .......... .......... .......... .......... .......... 56% 2.25M 25s\n",
      " 32350K .......... .......... .......... .......... .......... 56% 2.64M 25s\n",
      " 32400K .......... .......... .......... .......... .......... 56% 1.92M 25s\n",
      " 32450K .......... .......... .......... .......... .......... 56% 2.88M 24s\n",
      " 32500K .......... .......... .......... .......... .......... 56% 2.81M 24s\n",
      " 32550K .......... .......... .......... .......... .......... 56% 3.39M 24s\n",
      " 32600K .......... .......... .......... .......... .......... 57% 2.34M 24s\n",
      " 32650K .......... .......... .......... .......... .......... 57%  526K 24s\n",
      " 32700K .......... .......... .......... .......... .......... 57%  458M 24s\n",
      " 32750K .......... .......... .......... .......... .......... 57%  391M 24s\n",
      " 32800K .......... .......... .......... .......... .......... 57%  603M 24s\n",
      " 32850K .......... .......... .......... .......... .......... 57%  557M 24s\n",
      " 32900K .......... .......... .......... .......... .......... 57% 5.90M 24s\n",
      " 32950K .......... .......... .......... .......... .......... 57%  346K 24s\n",
      " 33000K .......... .......... .......... .......... .......... 57%  115M 24s\n",
      " 33050K .......... .......... .......... .......... .......... 57%  160M 24s\n",
      " 33100K .......... .......... .......... .......... .......... 57%  180M 24s\n",
      " 33150K .......... .......... .......... .......... .......... 57%  146M 24s\n",
      " 33200K .......... .......... .......... .......... .......... 58% 57.2M 23s\n",
      " 33250K .......... .......... .......... .......... .......... 58% 5.05M 23s\n",
      " 33300K .......... .......... .......... .......... .......... 58% 1.34M 23s\n",
      " 33350K .......... .......... .......... .......... .......... 58% 1.35M 23s\n",
      " 33400K .......... .......... .......... .......... .......... 58% 3.77M 23s\n",
      " 33450K .......... .......... .......... .......... .......... 58% 3.68M 23s\n",
      " 33500K .......... .......... .......... .......... .......... 58% 12.3M 23s\n",
      " 33550K .......... .......... .......... .......... .......... 58% 3.88M 23s\n",
      " 33600K .......... .......... .......... .......... .......... 58% 1.83M 23s\n",
      " 33650K .......... .......... .......... .......... .......... 58% 1.71M 23s\n",
      " 33700K .......... .......... .......... .......... .......... 58% 2.54M 23s\n",
      " 33750K .......... .......... .......... .......... .......... 59% 3.65M 23s\n",
      " 33800K .......... .......... .......... .......... .......... 59% 4.42M 23s\n",
      " 33850K .......... .......... .......... .......... .......... 59% 5.60M 23s\n",
      " 33900K .......... .......... .......... .......... .......... 59% 3.37M 22s\n",
      " 33950K .......... .......... .......... .......... .......... 59% 2.59M 22s\n",
      " 34000K .......... .......... .......... .......... .......... 59% 2.35M 22s\n",
      " 34050K .......... .......... .......... .......... .......... 59% 4.48M 22s\n",
      " 34100K .......... .......... .......... .......... .......... 59% 4.10M 22s\n",
      " 34150K .......... .......... .......... .......... .......... 59% 2.90M 22s\n",
      " 34200K .......... .......... .......... .......... .......... 59% 3.29M 22s\n",
      " 34250K .......... .......... .......... .......... .......... 59% 3.36M 22s\n",
      " 34300K .......... .......... .......... .......... .......... 59% 1.41M 22s\n",
      " 34350K .......... .......... .......... .......... .......... 60% 2.00M 22s\n",
      " 34400K .......... .......... .......... .......... .......... 60% 5.22M 22s\n",
      " 34450K .......... .......... .......... .......... .......... 60% 23.3M 22s\n",
      " 34500K .......... .......... .......... .......... .......... 60% 1.80M 22s\n",
      " 34550K .......... .......... .......... .......... .......... 60% 9.55M 22s\n",
      " 34600K .......... .......... .......... .......... .......... 60% 1.56M 21s\n",
      " 34650K .......... .......... .......... .......... .......... 60% 1.64M 21s\n",
      " 34700K .......... .......... .......... .......... .......... 60% 1.66M 21s\n",
      " 34750K .......... .......... .......... .......... .......... 60% 13.7M 21s\n",
      " 34800K .......... .......... .......... .......... .......... 60% 1.19M 21s\n",
      " 34850K .......... .......... .......... .......... .......... 60% 2.96M 21s\n",
      " 34900K .......... .......... .......... .......... .......... 61% 5.60M 21s\n",
      " 34950K .......... .......... .......... .......... .......... 61% 5.71M 21s\n",
      " 35000K .......... .......... .......... .......... .......... 61% 1.01M 21s\n",
      " 35050K .......... .......... .......... .......... .......... 61% 3.01M 21s\n",
      " 35100K .......... .......... .......... .......... .......... 61% 4.23M 21s\n",
      " 35150K .......... .......... .......... .......... .......... 61% 4.64M 21s\n",
      " 35200K .......... .......... .......... .......... .......... 61% 2.03M 21s\n",
      " 35250K .......... .......... .......... .......... .......... 61% 3.34M 21s\n",
      " 35300K .......... .......... .......... .......... .......... 61%  453K 21s\n",
      " 35350K .......... .......... .......... .......... .......... 61% 3.41M 21s\n",
      " 35400K .......... .......... .......... .......... .......... 61% 2.43M 21s\n",
      " 35450K .......... .......... .......... .......... .......... 61% 2.10M 20s\n",
      " 35500K .......... .......... .......... .......... .......... 62% 14.4M 20s\n",
      " 35550K .......... .......... .......... .......... .......... 62% 5.60M 20s\n",
      " 35600K .......... .......... .......... .......... .......... 62% 1.76M 20s\n",
      " 35650K .......... .......... .......... .......... .......... 62% 2.36M 20s\n",
      " 35700K .......... .......... .......... .......... .......... 62% 2.68M 20s\n",
      " 35750K .......... .......... .......... .......... .......... 62% 2.63M 20s\n",
      " 35800K .......... .......... .......... .......... .......... 62% 17.2M 20s\n",
      " 35850K .......... .......... .......... .......... .......... 62% 3.24M 20s\n",
      " 35900K .......... .......... .......... .......... .......... 62% 3.54M 20s\n",
      " 35950K .......... .......... .......... .......... .......... 62% 1.83M 20s\n",
      " 36000K .......... .......... .......... .......... .......... 62% 1.75M 20s\n",
      " 36050K .......... .......... .......... .......... .......... 63% 13.8M 20s\n",
      " 36100K .......... .......... .......... .......... .......... 63% 4.18M 20s\n",
      " 36150K .......... .......... .......... .......... .......... 63% 3.88M 20s\n",
      " 36200K .......... .......... .......... .......... .......... 63% 3.24M 19s\n",
      " 36250K .......... .......... .......... .......... .......... 63% 3.41M 19s\n",
      " 36300K .......... .......... .......... .......... .......... 63% 3.56M 19s\n",
      " 36350K .......... .......... .......... .......... .......... 63% 3.56M 19s\n",
      " 36400K .......... .......... .......... .......... .......... 63% 1.43M 19s\n",
      " 36450K .......... .......... .......... .......... .......... 63% 12.5M 19s\n",
      " 36500K .......... .......... .......... .......... .......... 63% 6.98M 19s\n",
      " 36550K .......... .......... .......... .......... .......... 63% 6.40M 19s\n",
      " 36600K .......... .......... .......... .......... .......... 64% 3.38M 19s\n",
      " 36650K .......... .......... .......... .......... .......... 64% 3.89M 19s\n",
      " 36700K .......... .......... .......... .......... .......... 64% 4.11M 19s\n",
      " 36750K .......... .......... .......... .......... .......... 64% 3.86M 19s\n",
      " 36800K .......... .......... .......... .......... .......... 64%  507K 19s\n",
      " 36850K .......... .......... .......... .......... .......... 64%  207M 19s\n",
      " 36900K .......... .......... .......... .......... .......... 64%  463M 19s\n",
      " 36950K .......... .......... .......... .......... .......... 64%  413M 19s\n",
      " 37000K .......... .......... .......... .......... .......... 64%  275M 18s\n",
      " 37050K .......... .......... .......... .......... .......... 64%  475M 18s\n",
      " 37100K .......... .......... .......... .......... .......... 64% 3.07M 18s\n",
      " 37150K .......... .......... .......... .......... .......... 64% 2.68M 18s\n",
      " 37200K .......... .......... .......... .......... .......... 65% 3.98M 18s\n",
      " 37250K .......... .......... .......... .......... .......... 65% 7.47M 18s\n",
      " 37300K .......... .......... .......... .......... .......... 65% 3.47M 18s\n",
      " 37350K .......... .......... .......... .......... .......... 65% 4.43M 18s\n",
      " 37400K .......... .......... .......... .......... .......... 65%  304K 18s\n",
      " 37450K .......... .......... .......... .......... .......... 65%  436M 18s\n",
      " 37500K .......... .......... .......... .......... .......... 65% 2.44M 18s\n",
      " 37550K .......... .......... .......... .......... .......... 65%  458M 18s\n",
      " 37600K .......... .......... .......... .......... .......... 65%  391M 18s\n",
      " 37650K .......... .......... .......... .......... .......... 65%  794M 18s\n",
      " 37700K .......... .......... .......... .......... .......... 65%  786M 18s\n",
      " 37750K .......... .......... .......... .......... .......... 66%  545K 18s\n",
      " 37800K .......... .......... .......... .......... .......... 66% 16.8M 18s\n",
      " 37850K .......... .......... .......... .......... .......... 66%  394M 17s\n",
      " 37900K .......... .......... .......... .......... .......... 66%  722M 17s\n",
      " 37950K .......... .......... .......... .......... .......... 66% 1.29M 17s\n",
      " 38000K .......... .......... .......... .......... .......... 66%  399M 17s\n",
      " 38050K .......... .......... .......... .......... .......... 66%  393M 17s\n",
      " 38100K .......... .......... .......... .......... .......... 66%  425M 17s\n",
      " 38150K .......... .......... .......... .......... .......... 66%  597M 17s\n",
      " 38200K .......... .......... .......... .......... .......... 66%  593M 17s\n",
      " 38250K .......... .......... .......... .......... .......... 66% 4.98M 17s\n",
      " 38300K .......... .......... .......... .......... .......... 66% 1.20M 17s\n",
      " 38350K .......... .......... .......... .......... .......... 67% 4.42M 17s\n",
      " 38400K .......... .......... .......... .......... .......... 67%  563K 17s\n",
      " 38450K .......... .......... .......... .......... .......... 67% 4.63M 17s\n",
      " 38500K .......... .......... .......... .......... .......... 67%  459M 17s\n",
      " 38550K .......... .......... .......... .......... .......... 67%  716M 17s\n",
      " 38600K .......... .......... .......... .......... .......... 67%  661M 17s\n",
      " 38650K .......... .......... .......... .......... .......... 67% 11.2M 16s\n",
      " 38700K .......... .......... .......... .......... .......... 67% 3.02M 16s\n",
      " 38750K .......... .......... .......... .......... .......... 67%  966K 16s\n",
      " 38800K .......... .......... .......... .......... .......... 67%  547K 16s\n",
      " 38850K .......... .......... .......... .......... .......... 67% 2.72M 16s\n",
      " 38900K .......... .......... .......... .......... .......... 68%  492K 16s\n",
      " 38950K .......... .......... .......... .......... .......... 68% 3.26M 16s\n",
      " 39000K .......... .......... .......... .......... .......... 68% 1.20M 16s\n",
      " 39050K .......... .......... .......... .......... .......... 68% 13.8M 16s\n",
      " 39100K .......... .......... .......... .......... .......... 68%  693M 16s\n",
      " 39150K .......... .......... .......... .......... .......... 68%  375M 16s\n",
      " 39200K .......... .......... .......... .......... .......... 68%  987K 16s\n",
      " 39250K .......... .......... .......... .......... .......... 68% 6.85M 16s\n",
      " 39300K .......... .......... .......... .......... .......... 68% 3.44M 16s\n",
      " 39350K .......... .......... .......... .......... .......... 68% 3.64M 16s\n",
      " 39400K .......... .......... .......... .......... .......... 68% 3.68M 16s\n",
      " 39450K .......... .......... .......... .......... .......... 68% 3.79M 16s\n",
      " 39500K .......... .......... .......... .......... .......... 69% 1.68M 16s\n",
      " 39550K .......... .......... .......... .......... .......... 69% 13.2M 16s\n",
      " 39600K .......... .......... .......... .......... .......... 69% 3.34M 15s\n",
      " 39650K .......... .......... .......... .......... .......... 69%  788K 15s\n",
      " 39700K .......... .......... .......... .......... .......... 69% 1.41M 15s\n",
      " 39750K .......... .......... .......... .......... .......... 69%  990K 15s\n",
      " 39800K .......... .......... .......... .......... .......... 69% 3.24M 15s\n",
      " 39850K .......... .......... .......... .......... .......... 69%  707K 15s\n",
      " 39900K .......... .......... .......... .......... .......... 69% 2.08M 15s\n",
      " 39950K .......... .......... .......... .......... .......... 69% 1.57M 15s\n",
      " 40000K .......... .......... .......... .......... .......... 69% 3.81M 15s\n",
      " 40050K .......... .......... .......... .......... .......... 70% 16.3M 15s\n",
      " 40100K .......... .......... .......... .......... .......... 70%  144M 15s\n",
      " 40150K .......... .......... .......... .......... .......... 70% 2.08M 15s\n",
      " 40200K .......... .......... .......... .......... .......... 70% 4.87M 15s\n",
      " 40250K .......... .......... .......... .......... .......... 70% 3.09M 15s\n",
      " 40300K .......... .......... .......... .......... .......... 70% 1.29M 15s\n",
      " 40350K .......... .......... .......... .......... .......... 70% 3.12M 15s\n",
      " 40400K .......... .......... .......... .......... .......... 70% 12.6M 15s\n",
      " 40450K .......... .......... .......... .......... .......... 70%  229K 15s\n",
      " 40500K .......... .......... .......... .......... .......... 70% 7.15M 15s\n",
      " 40550K .......... .......... .......... .......... .......... 70% 22.1M 15s\n",
      " 40600K .......... .......... .......... .......... .......... 70%  103M 15s\n",
      " 40650K .......... .......... .......... .......... .......... 71%  742K 14s\n",
      " 40700K .......... .......... .......... .......... .......... 71% 3.17M 14s\n",
      " 40750K .......... .......... .......... .......... .......... 71% 4.23M 14s\n",
      " 40800K .......... .......... .......... .......... .......... 71% 1.83M 14s\n",
      " 40850K .......... .......... .......... .......... .......... 71% 13.6M 14s\n",
      " 40900K .......... .......... .......... .......... .......... 71% 2.53M 14s\n",
      " 40950K .......... .......... .......... .......... .......... 71% 1.84M 14s\n",
      " 41000K .......... .......... .......... .......... .......... 71% 3.45M 14s\n",
      " 41050K .......... .......... .......... .......... .......... 71% 3.75M 14s\n",
      " 41100K .......... .......... .......... .......... .......... 71% 4.29M 14s\n",
      " 41150K .......... .......... .......... .......... .......... 71% 4.00M 14s\n",
      " 41200K .......... .......... .......... .......... .......... 72%  441K 14s\n",
      " 41250K .......... .......... .......... .......... .......... 72%  187M 14s\n",
      " 41300K .......... .......... .......... .......... .......... 72% 4.59M 14s\n",
      " 41350K .......... .......... .......... .......... .......... 72%  457M 14s\n",
      " 41400K .......... .......... .......... .......... .......... 72%  572M 14s\n",
      " 41450K .......... .......... .......... .......... .......... 72%  559M 14s\n",
      " 41500K .......... .......... .......... .......... .......... 72%  711M 14s\n",
      " 41550K .......... .......... .......... .......... .......... 72%  469M 14s\n",
      " 41600K .......... .......... .......... .......... .......... 72%  551K 13s\n",
      " 41650K .......... .......... .......... .......... .......... 72%  470M 13s\n",
      " 41700K .......... .......... .......... .......... .......... 72%  406M 13s\n",
      " 41750K .......... .......... .......... .......... .......... 72%  618M 13s\n",
      " 41800K .......... .......... .......... .......... .......... 73%  248M 13s\n",
      " 41850K .......... .......... .......... .......... .......... 73%  473M 13s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 41900K .......... .......... .......... .......... .......... 73% 7.38M 13s\n",
      " 41950K .......... .......... .......... .......... .......... 73% 1.80M 13s\n",
      " 42000K .......... .......... .......... .......... .......... 73% 3.80M 13s\n",
      " 42050K .......... .......... .......... .......... .......... 73% 2.10M 13s\n",
      " 42100K .......... .......... .......... .......... .......... 73% 4.57M 13s\n",
      " 42150K .......... .......... .......... .......... .......... 73% 4.00M 13s\n",
      " 42200K .......... .......... .......... .......... .......... 73% 6.41M 13s\n",
      " 42250K .......... .......... .......... .......... .......... 73% 4.37M 13s\n",
      " 42300K .......... .......... .......... .......... .......... 73%  262K 13s\n",
      " 42350K .......... .......... .......... .......... .......... 74%  250M 13s\n",
      " 42400K .......... .......... .......... .......... .......... 74%  439M 13s\n",
      " 42450K .......... .......... .......... .......... .......... 74%  697M 13s\n",
      " 42500K .......... .......... .......... .......... .......... 74%  518M 13s\n",
      " 42550K .......... .......... .......... .......... .......... 74%  713M 12s\n",
      " 42600K .......... .......... .......... .......... .......... 74%  479K 12s\n",
      " 42650K .......... .......... .......... .......... .......... 74%  690M 12s\n",
      " 42700K .......... .......... .......... .......... .......... 74%  689M 12s\n",
      " 42750K .......... .......... .......... .......... .......... 74%  917K 12s\n",
      " 42800K .......... .......... .......... .......... .......... 74%  442K 12s\n",
      " 42850K .......... .......... .......... .......... .......... 74%  126M 12s\n",
      " 42900K .......... .......... .......... .......... .......... 75%  114M 12s\n",
      " 42950K .......... .......... .......... .......... .......... 75% 67.1M 12s\n",
      " 43000K .......... .......... .......... .......... .......... 75%  347K 12s\n",
      " 43050K .......... .......... .......... .......... .......... 75%  692M 12s\n",
      " 43100K .......... .......... .......... .......... .......... 75%  519M 12s\n",
      " 43150K .......... .......... .......... .......... .......... 75%  754M 12s\n",
      " 43200K .......... .......... .......... .......... .......... 75%  597M 12s\n",
      " 43250K .......... .......... .......... .......... .......... 75%  591M 12s\n",
      " 43300K .......... .......... .......... .......... .......... 75% 3.73M 12s\n",
      " 43350K .......... .......... .......... .......... .......... 75% 3.69M 12s\n",
      " 43400K .......... .......... .......... .......... .......... 75%  434M 12s\n",
      " 43450K .......... .......... .......... .......... .......... 75%  176M 12s\n",
      " 43500K .......... .......... .......... .......... .......... 76% 5.47M 12s\n",
      " 43550K .......... .......... .......... .......... .......... 76% 2.89M 12s\n",
      " 43600K .......... .......... .......... .......... .......... 76% 6.81M 11s\n",
      " 43650K .......... .......... .......... .......... .......... 76% 2.26M 11s\n",
      " 43700K .......... .......... .......... .......... .......... 76% 2.64M 11s\n",
      " 43750K .......... .......... .......... .......... .......... 76% 1.79M 11s\n",
      " 43800K .......... .......... .......... .......... .......... 76% 2.83M 11s\n",
      " 43850K .......... .......... .......... .......... .......... 76% 4.08M 11s\n",
      " 43900K .......... .......... .......... .......... .......... 76% 13.4M 11s\n",
      " 43950K .......... .......... .......... .......... .......... 76%  690K 11s\n",
      " 44000K .......... .......... .......... .......... .......... 76% 3.51M 11s\n",
      " 44050K .......... .......... .......... .......... .......... 77% 7.23M 11s\n",
      " 44100K .......... .......... .......... .......... .......... 77% 3.60M 11s\n",
      " 44150K .......... .......... .......... .......... .......... 77% 1.80M 11s\n",
      " 44200K .......... .......... .......... .......... .......... 77% 4.92M 11s\n",
      " 44250K .......... .......... .......... .......... .......... 77% 3.54M 11s\n",
      " 44300K .......... .......... .......... .......... .......... 77% 1.21M 11s\n",
      " 44350K .......... .......... .......... .......... .......... 77% 4.90M 11s\n",
      " 44400K .......... .......... .......... .......... .......... 77%  164K 11s\n",
      " 44450K .......... .......... .......... .......... .......... 77%  371M 11s\n",
      " 44500K .......... .......... .......... .......... .......... 77%  396M 11s\n",
      " 44550K .......... .......... .......... .......... .......... 77% 16.2M 11s\n",
      " 44600K .......... .......... .......... .......... .......... 77% 3.66M 11s\n",
      " 44650K .......... .......... .......... .......... .......... 78% 41.1M 11s\n",
      " 44700K .......... .......... .......... .......... .......... 78%  688K 10s\n",
      " 44750K .......... .......... .......... .......... .......... 78%  279M 10s\n",
      " 44800K .......... .......... .......... .......... .......... 78% 1.07M 10s\n",
      " 44850K .......... .......... .......... .......... .......... 78% 2.62M 10s\n",
      " 44900K .......... .......... .......... .......... .......... 78% 2.05M 10s\n",
      " 44950K .......... .......... .......... .......... .......... 78% 13.1M 10s\n",
      " 45000K .......... .......... .......... .......... .......... 78% 3.49M 10s\n",
      " 45050K .......... .......... .......... .......... .......... 78% 3.78M 10s\n",
      " 45100K .......... .......... .......... .......... .......... 78% 1.88M 10s\n",
      " 45150K .......... .......... .......... .......... .......... 78% 8.11M 10s\n",
      " 45200K .......... .......... .......... .......... .......... 79% 3.69M 10s\n",
      " 45250K .......... .......... .......... .......... .......... 79% 2.68M 10s\n",
      " 45300K .......... .......... .......... .......... .......... 79% 2.41M 10s\n",
      " 45350K .......... .......... .......... .......... .......... 79% 5.20M 10s\n",
      " 45400K .......... .......... .......... .......... .......... 79% 4.99M 10s\n",
      " 45450K .......... .......... .......... .......... .......... 79% 2.02M 10s\n",
      " 45500K .......... .......... .......... .......... .......... 79% 6.00M 10s\n",
      " 45550K .......... .......... .......... .......... .......... 79% 2.84M 10s\n",
      " 45600K .......... .......... .......... .......... .......... 79%  401K 10s\n",
      " 45650K .......... .......... .......... .......... .......... 79%  507M 10s\n",
      " 45700K .......... .......... .......... .......... .......... 79%  379M 10s\n",
      " 45750K .......... .......... .......... .......... .......... 79%  403M 9s\n",
      " 45800K .......... .......... .......... .......... .......... 80%  187M 9s\n",
      " 45850K .......... .......... .......... .......... .......... 80% 4.53M 9s\n",
      " 45900K .......... .......... .......... .......... .......... 80% 5.33M 9s\n",
      " 45950K .......... .......... .......... .......... .......... 80% 4.43M 9s\n",
      " 46000K .......... .......... .......... .......... .......... 80% 24.2K 10s\n",
      " 46050K .......... .......... .......... .......... .......... 80%  213K 10s\n",
      " 46100K .......... .......... .......... .......... .......... 80%  128M 10s\n",
      " 46150K .......... .......... .......... .......... .......... 80%  155K 10s\n",
      " 46200K .......... .......... .......... .......... .......... 80% 10.9K 11s\n",
      " 46250K .......... .......... .......... .......... .......... 80%  154M 11s\n",
      " 46300K .......... .......... .......... .......... .......... 80%  337K 11s\n",
      " 46350K .......... .......... .......... .......... .......... 81% 1.22M 11s\n",
      " 46400K .......... .......... .......... .......... .......... 81%  638K 11s\n",
      " 46450K .......... .......... .......... .......... .......... 81%  236K 11s\n",
      " 46500K .......... .......... .......... .......... .......... 81%  438K 11s\n",
      " 46550K .......... .......... .......... .......... .......... 81%  560K 10s\n",
      " 46600K .......... .......... .......... .......... .......... 81%  353K 10s\n",
      " 46650K .......... .......... .......... .......... .......... 81%  336K 10s\n",
      " 46700K .......... .......... .......... .......... .......... 81%  405K 10s\n",
      " 46750K .......... .......... .......... .......... .......... 81%  411M 10s\n",
      " 46800K .......... .......... .......... .......... .......... 81%  376K 10s\n",
      " 46850K .......... .......... .......... .......... .......... 81%  894K 10s\n",
      " 46900K .......... .......... .......... .......... .......... 81%  220K 10s\n",
      " 46950K .......... .......... .......... .......... .......... 82%  159K 10s\n",
      " 47000K .......... .......... .......... .......... .......... 82%  524K 10s\n",
      " 47050K .......... .......... .......... .......... .......... 82%  157K 10s\n",
      " 47100K .......... .......... .......... .......... .......... 82% 77.1M 10s\n",
      " 47150K .......... .......... .......... .......... .......... 82%  216K 10s\n",
      " 47200K .......... .......... .......... .......... .......... 82%  258K 10s\n",
      " 47250K .......... .......... .......... .......... .......... 82%  268K 10s\n",
      " 47300K .......... .......... .......... .......... .......... 82%  567K 10s\n",
      " 47350K .......... .......... .......... .......... .......... 82%  236K 10s\n",
      " 47400K .......... .......... .......... .......... .......... 82%  158K 10s\n",
      " 47450K .......... .......... .......... .......... .......... 82%  646K 10s\n",
      " 47500K .......... .......... .......... .......... .......... 83%  340K 10s\n",
      " 47550K .......... .......... .......... .......... .......... 83%  159K 10s\n",
      " 47600K .......... .......... .......... .......... .......... 83%  171K 10s\n",
      " 47650K .......... .......... .......... .......... .......... 83%  217K 10s\n",
      " 47700K .......... .......... .......... .......... .......... 83%  161K 10s\n",
      " 47750K .......... .......... .......... .......... .......... 83%  599K 10s\n",
      " 47800K .......... .......... .......... .......... .......... 83%  256K 10s\n",
      " 47850K .......... .......... .......... .......... .......... 83%  369K 10s\n",
      " 47900K .......... .......... .......... .......... .......... 83%  230K 10s\n",
      " 47950K .......... .......... .......... .......... .......... 83%  245K 10s\n",
      " 48000K .......... .......... .......... .......... .......... 83%  447K 10s\n",
      " 48050K .......... .......... .......... .......... .......... 84%  364K 10s\n",
      " 48100K .......... .......... .......... .......... .......... 84%  324K 10s\n",
      " 48150K .......... .......... .......... .......... .......... 84%  235K 10s\n",
      " 48200K .......... .......... .......... .......... .......... 84%  380K 10s\n",
      " 48250K .......... .......... .......... .......... .......... 84%  290K 10s\n",
      " 48300K .......... .......... .......... .......... .......... 84%  346K 10s\n",
      " 48350K .......... .......... .......... .......... .......... 84%  387K 10s\n",
      " 48400K .......... .......... .......... .......... .......... 84%  548K 9s\n",
      " 48450K .......... .......... .......... .......... .......... 84%  431K 9s\n",
      " 48500K .......... .......... .......... .......... .......... 84%  475K 9s\n",
      " 48550K .......... .......... .......... .......... .......... 84%  506K 9s\n",
      " 48600K .......... .......... .......... .......... .......... 84%  198K 9s\n",
      " 48650K .......... .......... .......... .......... .......... 85%  296M 9s\n",
      " 48700K .......... .......... .......... .......... .......... 85%  493K 9s\n",
      " 48750K .......... .......... .......... .......... .......... 85%  482K 9s\n",
      " 48800K .......... .......... .......... .......... .......... 85%  579K 9s\n",
      " 48850K .......... .......... .......... .......... .......... 85%  176K 9s\n",
      " 48900K .......... .......... .......... .......... .......... 85%  293M 9s\n",
      " 48950K .......... .......... .......... .......... .......... 85%  166K 9s\n",
      " 49000K .......... .......... .......... .......... .......... 85%  111K 9s\n",
      " 49050K .......... .......... .......... .......... .......... 85%  107K 9s\n",
      " 49100K .......... .......... .......... .......... .......... 85% 48.0K 9s\n",
      " 49150K .......... .......... .......... .......... .......... 85%  171K 9s\n",
      " 49200K .......... .......... .......... .......... .......... 86% 66.9K 9s\n",
      " 49250K .......... .......... .......... .......... .......... 86%  167K 9s\n",
      " 49300K .......... .......... .......... .......... .......... 86% 66.8K 9s\n",
      " 49350K .......... .......... .......... .......... .......... 86%  165K 9s\n",
      " 49400K .......... .......... .......... .......... .......... 86% 75.0K 9s\n",
      " 49450K .......... .......... .......... .......... .......... 86%  251K 9s\n",
      " 49500K .......... .......... .......... .......... .......... 86%  442K 9s\n",
      " 49550K .......... .......... .......... .......... .......... 86%  457K 9s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 49600K .......... .......... .......... .......... .......... 86%  262K 9s\n",
      " 49650K .......... .......... .......... .......... .......... 86%  510K 9s\n",
      " 49700K .......... .......... .......... .......... .......... 86%  467K 9s\n",
      " 49750K .......... .......... .......... .......... .......... 86%  483K 9s\n",
      " 49800K .......... .......... .......... .......... .......... 87%  214K 9s\n",
      " 49850K .......... .......... .......... .......... .......... 87% 8.28M 9s\n",
      " 49900K .......... .......... .......... .......... .......... 87%  561K 9s\n",
      " 49950K .......... .......... .......... .......... .......... 87%  233K 9s\n",
      " 50000K .......... .......... .......... .......... .......... 87% 2.97M 9s\n",
      " 50050K .......... .......... .......... .......... .......... 87%  914K 9s\n",
      " 50100K .......... .......... .......... .......... .......... 87%  385K 9s\n",
      " 50150K .......... .......... .......... .......... .......... 87%  695K 8s\n",
      " 50200K .......... .......... .......... .......... .......... 87%  439K 8s\n",
      " 50250K .......... .......... .......... .......... .......... 87%  645K 8s\n",
      " 50300K .......... .......... .......... .......... .......... 87% 1.01M 8s\n",
      " 50350K .......... .......... .......... .......... .......... 88%  525K 8s\n",
      " 50400K .......... .......... .......... .......... .......... 88%  599K 8s\n",
      " 50450K .......... .......... .......... .......... .......... 88%  199K 8s\n",
      " 50500K .......... .......... .......... .......... .......... 88%  545M 8s\n",
      " 50550K .......... .......... .......... .......... .......... 88% 1.20M 8s\n",
      " 50600K .......... .......... .......... .......... .......... 88%  634K 8s\n",
      " 50650K .......... .......... .......... .......... .......... 88% 1023K 8s\n",
      " 50700K .......... .......... .......... .......... .......... 88%  699K 8s\n",
      " 50750K .......... .......... .......... .......... .......... 88% 1.59M 8s\n",
      " 50800K .......... .......... .......... .......... .......... 88%  654K 8s\n",
      " 50850K .......... .......... .......... .......... .......... 88% 1.23M 8s\n",
      " 50900K .......... .......... .......... .......... .......... 88%  954K 8s\n",
      " 50950K .......... .......... .......... .......... .......... 89% 1.04M 8s\n",
      " 51000K .......... .......... .......... .......... .......... 89%  282K 7s\n",
      " 51050K .......... .......... .......... .......... .......... 89%  483M 7s\n",
      " 51100K .......... .......... .......... .......... .......... 89% 11.9M 7s\n",
      " 51150K .......... .......... .......... .......... .......... 89% 1.03M 7s\n",
      " 51200K .......... .......... .......... .......... .......... 89%  315K 7s\n",
      " 51250K .......... .......... .......... .......... .......... 89%  629M 7s\n",
      " 51300K .......... .......... .......... .......... .......... 89% 3.40M 7s\n",
      " 51350K .......... .......... .......... .......... .......... 89%  261K 7s\n",
      " 51400K .......... .......... .......... .......... .......... 89%  486M 7s\n",
      " 51450K .......... .......... .......... .......... .......... 89%  503M 7s\n",
      " 51500K .......... .......... .......... .......... .......... 90% 1.73M 7s\n",
      " 51550K .......... .......... .......... .......... .......... 90% 1.27M 7s\n",
      " 51600K .......... .......... .......... .......... .......... 90%  759K 7s\n",
      " 51650K .......... .......... .......... .......... .......... 90%  753K 7s\n",
      " 51700K .......... .......... .......... .......... .......... 90%  520K 7s\n",
      " 51750K .......... .......... .......... .......... .......... 90%  851K 7s\n",
      " 51800K .......... .......... .......... .......... .......... 90%  996K 7s\n",
      " 51850K .......... .......... .......... .......... .......... 90% 1.18M 6s\n",
      " 51900K .......... .......... .......... .......... .......... 90% 1.51M 6s\n",
      " 51950K .......... .......... .......... .......... .......... 90% 1.36M 6s\n",
      " 52000K .......... .......... .......... .......... .......... 90% 1.05M 6s\n",
      " 52050K .......... .......... .......... .......... .......... 90% 1001K 6s\n",
      " 52100K .......... .......... .......... .......... .......... 91% 1.13M 6s\n",
      " 52150K .......... .......... .......... .......... .......... 91% 7.22M 6s\n",
      " 52200K .......... .......... .......... .......... .......... 91% 1.36M 6s\n",
      " 52250K .......... .......... .......... .......... .......... 91%  861K 6s\n",
      " 52300K .......... .......... .......... .......... .......... 91% 1.12M 6s\n",
      " 52350K .......... .......... .......... .......... .......... 91% 2.99M 6s\n",
      " 52400K .......... .......... .......... .......... .......... 91%  959K 6s\n",
      " 52450K .......... .......... .......... .......... .......... 91% 2.39M 6s\n",
      " 52500K .......... .......... .......... .......... .......... 91% 1.99M 6s\n",
      " 52550K .......... .......... .......... .......... .......... 91%  563K 6s\n",
      " 52600K .......... .......... .......... .......... .......... 91% 1.37M 6s\n",
      " 52650K .......... .......... .......... .......... .......... 92% 1.74M 5s\n",
      " 52700K .......... .......... .......... .......... .......... 92% 1.23M 5s\n",
      " 52750K .......... .......... .......... .......... .......... 92% 3.53M 5s\n",
      " 52800K .......... .......... .......... .......... .......... 92% 1.39M 5s\n",
      " 52850K .......... .......... .......... .......... .......... 92%  907K 5s\n",
      " 52900K .......... .......... .......... .......... .......... 92% 3.13M 5s\n",
      " 52950K .......... .......... .......... .......... .......... 92% 4.40M 5s\n",
      " 53000K .......... .......... .......... .......... .......... 92% 1.51M 5s\n",
      " 53050K .......... .......... .......... .......... .......... 92% 1.15M 5s\n",
      " 53100K .......... .......... .......... .......... .......... 92% 3.74M 5s\n",
      " 53150K .......... .......... .......... .......... .......... 92% 2.42M 5s\n",
      " 53200K .......... .......... .......... .......... .......... 92% 1.51M 5s\n",
      " 53250K .......... .......... .......... .......... .......... 93%  810K 5s\n",
      " 53300K .......... .......... .......... .......... .......... 93% 4.92M 5s\n",
      " 53350K .......... .......... .......... .......... .......... 93% 4.55M 5s\n",
      " 53400K .......... .......... .......... .......... .......... 93% 1.15M 5s\n",
      " 53450K .......... .......... .......... .......... .......... 93% 1.67M 4s\n",
      " 53500K .......... .......... .......... .......... .......... 93% 3.08M 4s\n",
      " 53550K .......... .......... .......... .......... .......... 93% 2.57M 4s\n",
      " 53600K .......... .......... .......... .......... .......... 93% 1.43M 4s\n",
      " 53650K .......... .......... .......... .......... .......... 93% 2.18M 4s\n",
      " 53700K .......... .......... .......... .......... .......... 93% 3.13M 4s\n",
      " 53750K .......... .......... .......... .......... .......... 93% 2.55M 4s\n",
      " 53800K .......... .......... .......... .......... .......... 94% 2.32M 4s\n",
      " 53850K .......... .......... .......... .......... .......... 94% 2.17M 4s\n",
      " 53900K .......... .......... .......... .......... .......... 94% 2.22M 4s\n",
      " 53950K .......... .......... .......... .......... .......... 94% 2.94M 4s\n",
      " 54000K .......... .......... .......... .......... .......... 94% 1.96M 4s\n",
      " 54050K .......... .......... .......... .......... .......... 94% 2.47M 4s\n",
      " 54100K .......... .......... .......... .......... .......... 94% 1.19M 4s\n",
      " 54150K .......... .......... .......... .......... .......... 94% 3.65M 4s\n",
      " 54200K .......... .......... .......... .......... .......... 94% 1.62M 4s\n",
      " 54250K .......... .......... .......... .......... .......... 94% 1.86M 3s\n",
      " 54300K .......... .......... .......... .......... .......... 94% 2.83M 3s\n",
      " 54350K .......... .......... .......... .......... .......... 95% 1.23M 3s\n",
      " 54400K .......... .......... .......... .......... .......... 95% 2.21M 3s\n",
      " 54450K .......... .......... .......... .......... .......... 95% 4.88M 3s\n",
      " 54500K .......... .......... .......... .......... .......... 95% 6.78M 3s\n",
      " 54550K .......... .......... .......... .......... .......... 95% 1.32M 3s\n",
      " 54600K .......... .......... .......... .......... .......... 95% 2.70M 3s\n",
      " 54650K .......... .......... .......... .......... .......... 95% 1.09M 3s\n",
      " 54700K .......... .......... .......... .......... .......... 95% 4.47M 3s\n",
      " 54750K .......... .......... .......... .......... .......... 95%  344K 3s\n",
      " 54800K .......... .......... .......... .......... .......... 95%  633M 3s\n",
      " 54850K .......... .......... .......... .......... .......... 95%  744M 3s\n",
      " 54900K .......... .......... .......... .......... .......... 95%  388M 3s\n",
      " 54950K .......... .......... .......... .......... .......... 96% 3.09M 3s\n",
      " 55000K .......... .......... .......... .......... .......... 96% 2.05M 3s\n",
      " 55050K .......... .......... .......... .......... .......... 96% 3.42M 3s\n",
      " 55100K .......... .......... .......... .......... .......... 96% 1.54M 2s\n",
      " 55150K .......... .......... .......... .......... .......... 96% 2.29M 2s\n",
      " 55200K .......... .......... .......... .......... .......... 96% 2.76M 2s\n",
      " 55250K .......... .......... .......... .......... .......... 96% 1.46M 2s\n",
      " 55300K .......... .......... .......... .......... .......... 96% 2.57M 2s\n",
      " 55350K .......... .......... .......... .......... .......... 96% 2.43M 2s\n",
      " 55400K .......... .......... .......... .......... .......... 96% 2.88M 2s\n",
      " 55450K .......... .......... .......... .......... .......... 96% 4.78M 2s\n",
      " 55500K .......... .......... .......... .......... .......... 97% 2.10M 2s\n",
      " 55550K .......... .......... .......... .......... .......... 97% 1.87M 2s\n",
      " 55600K .......... .......... .......... .......... .......... 97% 2.22M 2s\n",
      " 55650K .......... .......... .......... .......... .......... 97% 1.57M 2s\n",
      " 55700K .......... .......... .......... .......... .......... 97% 19.4M 2s\n",
      " 55750K .......... .......... .......... .......... .......... 97% 1.41M 2s\n",
      " 55800K .......... .......... .......... .......... .......... 97% 3.13M 2s\n",
      " 55850K .......... .......... .......... .......... .......... 97% 2.09M 2s\n",
      " 55900K .......... .......... .......... .......... .......... 97%  967K 2s\n",
      " 55950K .......... .......... .......... .......... .......... 97% 4.08M 1s\n",
      " 56000K .......... .......... .......... .......... .......... 97% 2.31M 1s\n",
      " 56050K .......... .......... .......... .......... .......... 97% 2.03M 1s\n",
      " 56100K .......... .......... .......... .......... .......... 98% 3.71M 1s\n",
      " 56150K .......... .......... .......... .......... .......... 98% 2.93M 1s\n",
      " 56200K .......... .......... .......... .......... .......... 98% 2.68M 1s\n",
      " 56250K .......... .......... .......... .......... .......... 98% 1.99M 1s\n",
      " 56300K .......... .......... .......... .......... .......... 98% 2.57M 1s\n",
      " 56350K .......... .......... .......... .......... .......... 98% 6.06M 1s\n",
      " 56400K .......... .......... .......... .......... .......... 98% 3.01M 1s\n",
      " 56450K .......... .......... .......... .......... .......... 98% 2.31M 1s\n",
      " 56500K .......... .......... .......... .......... .......... 98%  920K 1s\n",
      " 56550K .......... .......... .......... .......... .......... 98% 3.73M 1s\n",
      " 56600K .......... .......... .......... .......... .......... 98% 3.48M 1s\n",
      " 56650K .......... .......... .......... .......... .......... 99%  866K 1s\n",
      " 56700K .......... .......... .......... .......... .......... 99%  916K 1s\n",
      " 56750K .......... .......... .......... .......... .......... 99% 3.64M 1s\n",
      " 56800K .......... .......... .......... .......... .......... 99%  456K 0s\n",
      " 56850K .......... .......... .......... .......... .......... 99% 2.61M 0s\n",
      " 56900K .......... .......... .......... .......... .......... 99% 1.22M 0s\n",
      " 56950K .......... .......... .......... .......... .......... 99% 26.6M 0s\n",
      " 57000K .......... .......... .......... .......... .......... 99% 12.5M 0s\n",
      " 57050K .......... .......... .......... .......... .......... 99% 1.15M 0s\n",
      " 57100K .......... .......... .......... .......... .......... 99% 1.80M 0s\n",
      " 57150K .......... .......... .......... .......... .......... 99% 1.20M 0s\n",
      " 57200K .......... .......... .......... .......... .......... 99% 3.28M 0s\n",
      " 57250K ..........                                            100%  495M=65s\n",
      "\n",
      "2022-08-13 16:43:39 (875 KB/s) - 'test_img/video_2.mp4' saved [58635218/58635218]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/watermelon1.jpg -O test_img/watermelon1.jpg\n",
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/banana1.jpg -O test_img/banana1.jpg\n",
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/cat1.jpg -O test_img/cat1.jpg\n",
    "\n",
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/test/video_2.mp4 -O test_img/video_2.mp4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "53d5e2ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e98d7f13",
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rc(\"font\",family='SimHei') # 中文字体\n",
    "plt.rcParams['axes.unicode_minus']=False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "735f38bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1,2,3], [100,500,300])\n",
    "plt.title('matplotlib中文字体测试', fontsize=25)\n",
    "plt.xlabel('X轴', fontsize=15)\n",
    "plt.ylabel('Y轴', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5410dcf4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-08-14 12:53:58--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/melon17/melon17_split.zip\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 131340912 (125M) [application/zip]\n",
      "Saving to: 'melon17_split.zip'\n",
      "\n",
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      "  3400K .......... .......... .......... .......... ..........  2% 6.04M 21s\n",
      "  3450K .......... .......... .......... .......... ..........  2% 21.4M 21s\n",
      "  3500K .......... .......... .......... .......... ..........  2% 34.8M 20s\n",
      "  3550K .......... .......... .......... .......... ..........  2%  688M 20s\n",
      "  3600K .......... .......... .......... .......... ..........  2%  656M 20s\n",
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      "  3700K .......... .......... .......... .......... ..........  2%  491M 19s\n",
      "  3750K .......... .......... .......... .......... ..........  2%  401M 19s\n",
      "  3800K .......... .......... .......... .......... ..........  3% 19.5M 19s\n",
      "  3850K .......... .......... .......... .......... ..........  3% 12.2M 19s\n",
      "  3900K .......... .......... .......... .......... ..........  3% 7.89M 19s\n",
      "  3950K .......... .......... .......... .......... ..........  3% 15.2M 18s\n",
      "  4000K .......... .......... .......... .......... ..........  3% 12.4M 18s\n",
      "  4050K .......... .......... .......... .......... ..........  3% 11.5M 18s\n",
      "  4100K .......... .......... .......... .......... ..........  3% 7.33M 18s\n",
      "  4150K .......... .......... .......... .......... ..........  3% 26.0M 18s\n",
      "  4200K .......... .......... .......... .......... ..........  3% 10.1M 18s\n",
      "  4250K .......... .......... .......... .......... ..........  3%  610K 20s\n",
      "  4300K .......... .......... .......... .......... ..........  3% 12.2M 20s\n",
      "  4350K .......... .......... .......... .......... ..........  3% 6.53M 20s\n",
      "  4400K .......... .......... .......... .......... ..........  3%  127M 20s\n",
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      "  4500K .......... .......... .......... .......... ..........  3%  381M 19s\n",
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      "  4600K .......... .......... .......... .......... ..........  3% 6.97M 19s\n",
      "  4650K .......... .......... .......... .......... ..........  3% 24.0M 19s\n",
      "  4700K .......... .......... .......... .......... ..........  3% 71.1M 19s\n",
      "  4750K .......... .......... .......... .......... ..........  3% 25.9M 19s\n",
      "  4800K .......... .......... .......... .......... ..........  3% 8.86M 19s\n",
      "  4850K .......... .......... .......... .......... ..........  3% 37.2M 18s\n",
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      "  5000K .......... .......... .......... .......... ..........  3% 14.9M 18s\n",
      "  5050K .......... .......... .......... .......... ..........  3% 9.99M 18s\n",
      "  5100K .......... .......... .......... .......... ..........  4% 22.8M 18s\n",
      "  5150K .......... .......... .......... .......... ..........  4% 9.60M 18s\n",
      "  5200K .......... .......... .......... .......... ..........  4% 16.9M 18s\n",
      "  5250K .......... .......... .......... .......... ..........  4% 49.9M 17s\n",
      "  5300K .......... .......... .......... .......... ..........  4% 27.6M 17s\n",
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      "  5900K .......... .......... .......... .......... ..........  4% 29.0M 16s\n",
      "  5950K .......... .......... .......... .......... ..........  4% 11.8M 16s\n",
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      "  6050K .......... .......... .......... .......... ..........  4% 13.5M 16s\n",
      "  6100K .......... .......... .......... .......... ..........  4% 11.9M 16s\n",
      "  6150K .......... .......... .......... .......... ..........  4% 11.0M 15s\n",
      "  6200K .......... .......... .......... .......... ..........  4% 9.05M 15s\n",
      "  6250K .......... .......... .......... .......... ..........  4%  697K 17s\n",
      "  6300K .......... .......... .......... .......... ..........  4% 8.16M 17s\n",
      "  6350K .......... .......... .......... .......... ..........  4% 5.38M 17s\n",
      "  6400K .......... .......... .......... .......... ..........  5% 3.43M 17s\n",
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      "  6900K .......... .......... .......... .......... ..........  5% 98.5M 16s\n",
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      "  7000K .......... .......... .......... .......... ..........  5% 14.8M 16s\n",
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      "  7100K .......... .......... .......... .......... ..........  5% 50.4M 16s\n",
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      "  7200K .......... .......... .......... .......... ..........  5% 10.8M 16s\n",
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      "  8000K .......... .......... .......... .......... ..........  6% 11.9M 14s\n",
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      " 10000K .......... .......... .......... .......... ..........  7% 10.2M 13s\n",
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      " 15200K .......... .......... .......... .......... .......... 11% 12.3M 12s\n",
      " 15250K .......... .......... .......... .......... .......... 11% 11.6M 12s\n",
      " 15300K .......... .......... .......... .......... .......... 11% 7.87M 12s\n",
      " 15350K .......... .......... .......... .......... .......... 12% 17.1M 12s\n",
      " 15400K .......... .......... .......... .......... .......... 12% 11.7M 12s\n",
      " 15450K .......... .......... .......... .......... .......... 12% 10.2M 12s\n",
      " 15500K .......... .......... .......... .......... .......... 12% 13.0M 12s\n",
      " 15550K .......... .......... .......... .......... .......... 12% 10.7M 12s\n",
      " 15600K .......... .......... .......... .......... .......... 12% 10.3M 12s\n",
      " 15650K .......... .......... .......... .......... .......... 12% 13.3M 12s\n",
      " 15700K .......... .......... .......... .......... .......... 12% 10.3M 12s\n",
      " 15750K .......... .......... .......... .......... .......... 12% 13.3M 12s\n",
      " 15800K .......... .......... .......... .......... .......... 12% 10.4M 12s\n",
      " 15850K .......... .......... .......... .......... .......... 12% 7.65M 12s\n",
      " 15900K .......... .......... .......... .......... .......... 12% 23.8M 12s\n",
      " 15950K .......... .......... .......... .......... .......... 12% 11.4M 12s\n",
      " 16000K .......... .......... .......... .......... .......... 12% 8.62M 12s\n",
      " 16050K .......... .......... .......... .......... .......... 12% 15.5M 12s\n",
      " 16100K .......... .......... .......... .......... .......... 12% 10.4M 12s\n",
      " 16150K .......... .......... .......... .......... .......... 12% 11.3M 12s\n",
      " 16200K .......... .......... .......... .......... .......... 12% 8.29M 12s\n",
      " 16250K .......... .......... .......... .......... .......... 12% 10.6M 12s\n",
      " 16300K .......... .......... .......... .......... .......... 12% 14.3M 12s\n",
      " 16350K .......... .......... .......... .......... .......... 12% 13.7M 12s\n",
      " 16400K .......... .......... .......... .......... .......... 12%  587K 12s\n",
      " 16450K .......... .......... .......... .......... .......... 12% 32.9M 12s\n",
      " 16500K .......... .......... .......... .......... .......... 12%  288M 12s\n",
      " 16550K .......... .......... .......... .......... .......... 12%  418M 12s\n",
      " 16600K .......... .......... .......... .......... .......... 12% 4.83M 12s\n",
      " 16650K .......... .......... .......... .......... .......... 13% 27.2M 12s\n",
      " 16700K .......... .......... .......... .......... .......... 13%  421M 12s\n",
      " 16750K .......... .......... .......... .......... .......... 13%  419M 12s\n",
      " 16800K .......... .......... .......... .......... .......... 13%  463M 12s\n",
      " 16850K .......... .......... .......... .......... .......... 13%  475M 12s\n",
      " 16900K .......... .......... .......... .......... .......... 13%  513M 12s\n",
      " 16950K .......... .......... .......... .......... .......... 13% 3.89M 12s\n",
      " 17000K .......... .......... .......... .......... .......... 13% 8.85M 12s\n",
      " 17050K .......... .......... .......... .......... .......... 13%  674M 12s\n",
      " 17100K .......... .......... .......... .......... .......... 13%  698M 12s\n",
      " 17150K .......... .......... .......... .......... .......... 13%  505M 12s\n",
      " 17200K .......... .......... .......... .......... .......... 13%  655M 12s\n",
      " 17250K .......... .......... .......... .......... .......... 13%  612M 12s\n",
      " 17300K .......... .......... .......... .......... .......... 13%  726M 12s\n",
      " 17350K .......... .......... .......... .......... .......... 13%  724M 12s\n",
      " 17400K .......... .......... .......... .......... .......... 13%  441M 12s\n",
      " 17450K .......... .......... .......... .......... .......... 13%  720M 11s\n",
      " 17500K .......... .......... .......... .......... .......... 13%  626M 11s\n",
      " 17550K .......... .......... .......... .......... .......... 13%  716M 11s\n",
      " 17600K .......... .......... .......... .......... .......... 13%  381M 11s\n",
      " 17650K .......... .......... .......... .......... .......... 13%  549M 11s\n",
      " 17700K .......... .......... .......... .......... .......... 13%  713M 11s\n",
      " 17750K .......... .......... .......... .......... .......... 13% 13.6M 11s\n",
      " 17800K .......... .......... .......... .......... .......... 13% 8.57M 11s\n",
      " 17850K .......... .......... .......... .......... .......... 13% 7.79M 11s\n",
      " 17900K .......... .......... .......... .......... .......... 13% 17.5M 11s\n",
      " 17950K .......... .......... .......... .......... .......... 14% 14.1M 11s\n",
      " 18000K .......... .......... .......... .......... .......... 14% 9.10M 11s\n",
      " 18050K .......... .......... .......... .......... .......... 14% 11.5M 11s\n",
      " 18100K .......... .......... .......... .......... .......... 14% 11.8M 11s\n",
      " 18150K .......... .......... .......... .......... .......... 14% 9.04M 11s\n",
      " 18200K .......... .......... .......... .......... .......... 14% 13.7M 11s\n",
      " 18250K .......... .......... .......... .......... .......... 14% 9.24M 11s\n",
      " 18300K .......... .......... .......... .......... .......... 14% 16.4M 11s\n",
      " 18350K .......... .......... .......... .......... .......... 14% 11.0M 11s\n",
      " 18400K .......... .......... .......... .......... .......... 14% 12.0M 11s\n",
      " 18450K .......... .......... .......... .......... .......... 14% 10.1M 11s\n",
      " 18500K .......... .......... .......... .......... .......... 14% 8.38M 11s\n",
      " 18550K .......... .......... .......... .......... .......... 14% 14.7M 11s\n",
      " 18600K .......... .......... .......... .......... .......... 14% 13.3M 11s\n",
      " 18650K .......... .......... .......... .......... .......... 14% 12.0M 11s\n",
      " 18700K .......... .......... .......... .......... .......... 14% 8.50M 11s\n",
      " 18750K .......... .......... .......... .......... .......... 14% 12.0M 11s\n",
      " 18800K .......... .......... .......... .......... .......... 14% 11.7M 11s\n",
      " 18850K .......... .......... .......... .......... .......... 14% 11.9M 11s\n",
      " 18900K .......... .......... .......... .......... .......... 14% 10.5M 11s\n",
      " 18950K .......... .......... .......... .......... .......... 14% 12.4M 11s\n",
      " 19000K .......... .......... .......... .......... .......... 14% 7.96M 11s\n",
      " 19050K .......... .......... .......... .......... .......... 14% 17.0M 11s\n",
      " 19100K .......... .......... .......... .......... .......... 14% 11.7M 11s\n",
      " 19150K .......... .......... .......... .......... .......... 14% 11.6M 11s\n",
      " 19200K .......... .......... .......... .......... .......... 15% 8.63M 11s\n",
      " 19250K .......... .......... .......... .......... .......... 15% 15.4M 11s\n",
      " 19300K .......... .......... .......... .......... .......... 15% 10.3M 11s\n",
      " 19350K .......... .......... .......... .......... .......... 15% 12.1M 11s\n",
      " 19400K .......... .......... .......... .......... .......... 15% 7.75M 11s\n",
      " 19450K .......... .......... .......... .......... .......... 15% 14.4M 11s\n",
      " 19500K .......... .......... .......... .......... .......... 15% 10.6M 11s\n",
      " 19550K .......... .......... .......... .......... .......... 15% 12.8M 11s\n",
      " 19600K .......... .......... .......... .......... .......... 15% 9.52M 11s\n",
      " 19650K .......... .......... .......... .......... .......... 15% 12.1M 11s\n",
      " 19700K .......... .......... .......... .......... .......... 15% 11.6M 11s\n",
      " 19750K .......... .......... .......... .......... .......... 15% 14.7M 11s\n",
      " 19800K .......... .......... .......... .......... .......... 15% 8.32M 11s\n",
      " 19850K .......... .......... .......... .......... .......... 15% 12.9M 11s\n",
      " 19900K .......... .......... .......... .......... .......... 15% 11.0M 11s\n",
      " 19950K .......... .......... .......... .......... .......... 15% 9.77M 11s\n",
      " 20000K .......... .......... .......... .......... .......... 15% 14.9M 11s\n",
      " 20050K .......... .......... .......... .......... .......... 15% 9.71M 11s\n",
      " 20100K .......... .......... .......... .......... .......... 15% 12.0M 11s\n",
      " 20150K .......... .......... .......... .......... .......... 15% 11.3M 11s\n",
      " 20200K .......... .......... .......... .......... .......... 15% 12.4M 11s\n",
      " 20250K .......... .......... .......... .......... .......... 15% 11.7M 11s\n",
      " 20300K .......... .......... .......... .......... .......... 15% 9.68M 11s\n",
      " 20350K .......... .......... .......... .......... .......... 15% 11.7M 11s\n",
      " 20400K .......... .......... .......... .......... .......... 15% 10.6M 11s\n",
      " 20450K .......... .......... .......... .......... .......... 15% 13.7M 11s\n",
      " 20500K .......... .......... .......... .......... .......... 16% 8.19M 11s\n",
      " 20550K .......... .......... .......... .......... .......... 16% 12.8M 11s\n",
      " 20600K .......... .......... .......... .......... .......... 16% 10.9M 11s\n",
      " 20650K .......... .......... .......... .......... .......... 16% 12.7M 11s\n",
      " 20700K .......... .......... .......... .......... .......... 16% 8.85M 11s\n",
      " 20750K .......... .......... .......... .......... .......... 16% 16.0M 11s\n",
      " 20800K .......... .......... .......... .......... .......... 16% 10.4M 11s\n",
      " 20850K .......... .......... .......... .......... .......... 16%  561K 11s\n",
      " 20900K .......... .......... .......... .......... .......... 16% 25.5M 11s\n",
      " 20950K .......... .......... .......... .......... .......... 16% 34.0M 11s\n",
      " 21000K .......... .......... .......... .......... .......... 16%  418M 11s\n",
      " 21050K .......... .......... .......... .......... .......... 16%  438M 11s\n",
      " 21100K .......... .......... .......... .......... .......... 16% 8.35M 11s\n",
      " 21150K .......... .......... .......... .......... .......... 16% 8.95M 11s\n",
      " 21200K .......... .......... .......... .......... .......... 16% 64.8M 11s\n",
      " 21250K .......... .......... .......... .......... .......... 16%  465M 11s\n",
      " 21300K .......... .......... .......... .......... .......... 16%  704M 11s\n",
      " 21350K .......... .......... .......... .......... .......... 16%  598M 11s\n",
      " 21400K .......... .......... .......... .......... .......... 16%  570M 11s\n",
      " 21450K .......... .......... .......... .......... .......... 16%  684M 11s\n",
      " 21500K .......... .......... .......... .......... .......... 16%  475M 11s\n",
      " 21550K .......... .......... .......... .......... .......... 16%  699M 11s\n",
      " 21600K .......... .......... .......... .......... .......... 16%  506M 11s\n",
      " 21650K .......... .......... .......... .......... .......... 16%  713M 11s\n",
      " 21700K .......... .......... .......... .......... .......... 16%  694M 11s\n",
      " 21750K .......... .......... .......... .......... .......... 16%  600M 11s\n",
      " 21800K .......... .......... .......... .......... .......... 17%  238M 11s\n",
      " 21850K .......... .......... .......... .......... .......... 17%  373M 11s\n",
      " 21900K .......... .......... .......... .......... .......... 17%  288M 11s\n",
      " 21950K .......... .......... .......... .......... .......... 17%  271M 11s\n",
      " 22000K .......... .......... .......... .......... .......... 17% 31.7M 11s\n",
      " 22050K .......... .......... .......... .......... .......... 17% 33.9M 11s\n",
      " 22100K .......... .......... .......... .......... .......... 17% 11.4M 11s\n",
      " 22150K .......... .......... .......... .......... .......... 17% 8.19M 11s\n",
      " 22200K .......... .......... .......... .......... .......... 17% 16.1M 11s\n",
      " 22250K .......... .......... .......... .......... .......... 17% 10.2M 11s\n",
      " 22300K .......... .......... .......... .......... .......... 17% 10.9M 11s\n",
      " 22350K .......... .......... .......... .......... .......... 17% 11.1M 11s\n",
      " 22400K .......... .......... .......... .......... .......... 17% 10.4M 11s\n",
      " 22450K .......... .......... .......... .......... .......... 17% 8.96M 10s\n",
      " 22500K .......... .......... .......... .......... .......... 17% 15.9M 10s\n",
      " 22550K .......... .......... .......... .......... .......... 17% 12.0M 10s\n",
      " 22600K .......... .......... .......... .......... .......... 17% 8.67M 10s\n",
      " 22650K .......... .......... .......... .......... .......... 17% 13.9M 10s\n",
      " 22700K .......... .......... .......... .......... .......... 17% 10.8M 10s\n",
      " 22750K .......... .......... .......... .......... .......... 17% 13.1M 10s\n",
      " 22800K .......... .......... .......... .......... .......... 17% 8.33M 10s\n",
      " 22850K .......... .......... .......... .......... .......... 17% 12.4M 10s\n",
      " 22900K .......... .......... .......... .......... .......... 17% 12.0M 10s\n",
      " 22950K .......... .......... .......... .......... .......... 17% 13.8M 10s\n",
      " 23000K .......... .......... .......... .......... .......... 17% 6.14M 10s\n",
      " 23050K .......... .......... .......... .......... .......... 18% 27.6M 10s\n",
      " 23100K .......... .......... .......... .......... .......... 18% 11.8M 10s\n",
      " 23150K .......... .......... .......... .......... .......... 18% 12.1M 10s\n",
      " 23200K .......... .......... .......... .......... .......... 18% 7.69M 10s\n",
      " 23250K .......... .......... .......... .......... .......... 18% 11.5M 10s\n",
      " 23300K .......... .......... .......... .......... .......... 18% 13.3M 10s\n",
      " 23350K .......... .......... .......... .......... .......... 18% 10.7M 10s\n",
      " 23400K .......... .......... .......... .......... .......... 18% 11.7M 10s\n",
      " 23450K .......... .......... .......... .......... .......... 18% 11.1M 10s\n",
      " 23500K .......... .......... .......... .......... .......... 18% 11.1M 10s\n",
      " 23550K .......... .......... .......... .......... .......... 18% 7.70M 10s\n",
      " 23600K .......... .......... .......... .......... .......... 18% 16.3M 10s\n",
      " 23650K .......... .......... .......... .......... .......... 18% 12.2M 10s\n",
      " 23700K .......... .......... .......... .......... .......... 18% 11.4M 10s\n",
      " 23750K .......... .......... .......... .......... .......... 18% 12.2M 10s\n",
      " 23800K .......... .......... .......... .......... .......... 18% 11.8M 10s\n",
      " 23850K .......... .......... .......... .......... .......... 18% 10.1M 10s\n",
      " 23900K .......... .......... .......... .......... .......... 18% 11.3M 10s\n",
      " 23950K .......... .......... .......... .......... .......... 18% 10.1M 10s\n",
      " 24000K .......... .......... .......... .......... .......... 18% 14.0M 10s\n",
      " 24050K .......... .......... .......... .......... .......... 18% 4.64M 10s\n",
      " 24100K .......... .......... .......... .......... .......... 18% 73.8M 10s\n",
      " 24150K .......... .......... .......... .......... .......... 18% 13.0M 10s\n",
      " 24200K .......... .......... .......... .......... .......... 18% 8.15M 10s\n",
      " 24250K .......... .......... .......... .......... .......... 18% 24.9M 10s\n",
      " 24300K .......... .......... .......... .......... .......... 18% 12.2M 10s\n",
      " 24350K .......... .......... .......... .......... .......... 19% 12.0M 10s\n",
      " 24400K .......... .......... .......... .......... .......... 19% 8.58M 10s\n",
      " 24450K .......... .......... .......... .......... .......... 19% 7.58M 10s\n",
      " 24500K .......... .......... .......... .......... .......... 19% 43.5M 10s\n",
      " 24550K .......... .......... .......... .......... .......... 19% 11.8M 10s\n",
      " 24600K .......... .......... .......... .......... .......... 19% 6.36M 10s\n",
      " 24650K .......... .......... .......... .......... .......... 19%  562K 11s\n",
      " 24700K .......... .......... .......... .......... .......... 19% 15.8M 11s\n",
      " 24750K .......... .......... .......... .......... .......... 19%  610M 10s\n",
      " 24800K .......... .......... .......... .......... .......... 19%  222M 10s\n",
      " 24850K .......... .......... .......... .......... .......... 19%  623M 10s\n",
      " 24900K .......... .......... .......... .......... .......... 19% 4.88M 10s\n",
      " 24950K .......... .......... .......... .......... .......... 19% 14.3M 10s\n",
      " 25000K .......... .......... .......... .......... .......... 19%  363M 10s\n",
      " 25050K .......... .......... .......... .......... .......... 19%  297M 10s\n",
      " 25100K .......... .......... .......... .......... .......... 19%  462M 10s\n",
      " 25150K .......... .......... .......... .......... .......... 19% 1.11M 11s\n",
      " 25200K .......... .......... .......... .......... .......... 19% 94.7M 11s\n",
      " 25250K .......... .......... .......... .......... .......... 19%  144M 10s\n",
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      " 25650K .......... .......... .......... .......... .......... 20%  218M 10s\n",
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      " 27100K .......... .......... .......... .......... .......... 21% 12.9M 10s\n",
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      " 27350K .......... .......... .......... .......... .......... 21% 11.9M 10s\n",
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      " 27600K .......... .......... .......... .......... .......... 21% 9.13M 10s\n",
      " 27650K .......... .......... .......... .......... .......... 21% 11.8M 10s\n",
      " 27700K .......... .......... .......... .......... .......... 21% 13.6M 10s\n",
      " 27750K .......... .......... .......... .......... .......... 21% 12.0M 10s\n",
      " 27800K .......... .......... .......... .......... .......... 21% 7.40M 10s\n",
      " 27850K .......... .......... .......... .......... .......... 21% 13.4M 10s\n",
      " 27900K .......... .......... .......... .......... .......... 21% 11.6M 10s\n",
      " 27950K .......... .......... .......... .......... .......... 21% 15.8M 10s\n",
      " 28000K .......... .......... .......... .......... .......... 21% 8.52M 10s\n",
      " 28050K .......... .......... .......... .......... .......... 21% 11.4M 10s\n",
      " 28100K .......... .......... .......... .......... .......... 21% 11.0M 10s\n",
      " 28150K .......... .......... .......... .......... .......... 21% 8.42M 10s\n",
      " 28200K .......... .......... .......... .......... .......... 22% 12.6M 10s\n",
      " 28250K .......... .......... .......... .......... .......... 22% 14.0M 10s\n",
      " 28300K .......... .......... .......... .......... .......... 22% 11.3M 10s\n",
      " 28350K .......... .......... .......... .......... .......... 22% 11.7M 10s\n",
      " 28400K .......... .......... .......... .......... .......... 22% 10.3M 10s\n",
      " 28450K .......... .......... .......... .......... .......... 22% 9.88M 10s\n",
      " 28500K .......... .......... .......... .......... .......... 22% 10.0M 10s\n",
      " 28550K .......... .......... .......... .......... .......... 22% 12.8M 10s\n",
      " 28600K .......... .......... .......... .......... .......... 22% 11.3M 10s\n",
      " 28650K .......... .......... .......... .......... .......... 22% 9.23M 10s\n",
      " 28700K .......... .......... .......... .......... .......... 22% 14.6M 10s\n",
      " 28750K .......... .......... .......... .......... .......... 22% 11.0M 10s\n",
      " 28800K .......... .......... .......... .......... .......... 22% 11.4M 10s\n",
      " 28850K .......... .......... .......... .......... .......... 22% 11.9M 10s\n",
      " 28900K .......... .......... .......... .......... .......... 22% 11.7M 10s\n",
      " 28950K .......... .......... .......... .......... .......... 22% 12.0M 10s\n",
      " 29000K .......... .......... .......... .......... .......... 22%  571K 10s\n",
      " 29050K .......... .......... .......... .......... .......... 22% 33.3M 10s\n",
      " 29100K .......... .......... .......... .......... .......... 22%  669M 10s\n",
      " 29150K .......... .......... .......... .......... .......... 22%  563M 10s\n",
      " 29200K .......... .......... .......... .......... .......... 22% 10.9M 10s\n",
      " 29250K .......... .......... .......... .......... .......... 22% 8.65M 10s\n",
      " 29300K .......... .......... .......... .......... .......... 22%  522M 10s\n",
      " 29350K .......... .......... .......... .......... .......... 22%  701M 10s\n",
      " 29400K .......... .......... .......... .......... .......... 22%  496M 10s\n",
      " 29450K .......... .......... .......... .......... .......... 22%  707M 10s\n",
      " 29500K .......... .......... .......... .......... .......... 23%  211M 10s\n",
      " 29550K .......... .......... .......... .......... .......... 23%  538M 10s\n",
      " 29600K .......... .......... .......... .......... .......... 23%  568M 10s\n",
      " 29650K .......... .......... .......... .......... .......... 23%  704M 10s\n",
      " 29700K .......... .......... .......... .......... .......... 23%  450M 10s\n",
      " 29750K .......... .......... .......... .......... .......... 23%  598M 10s\n",
      " 29800K .......... .......... .......... .......... .......... 23%  496M 10s\n",
      " 29850K .......... .......... .......... .......... .......... 23%  476M 10s\n",
      " 29900K .......... .......... .......... .......... .......... 23%  709M 10s\n",
      " 29950K .......... .......... .......... .......... .......... 23%  604M 10s\n",
      " 30000K .......... .......... .......... .......... .......... 23%  324M 9s\n",
      " 30050K .......... .......... .......... .......... .......... 23%  522M 9s\n",
      " 30100K .......... .......... .......... .......... .......... 23% 25.5M 9s\n",
      " 30150K .......... .......... .......... .......... .......... 23% 11.3M 9s\n",
      " 30200K .......... .......... .......... .......... .......... 23% 11.8M 9s\n",
      " 30250K .......... .......... .......... .......... .......... 23% 11.4M 9s\n",
      " 30300K .......... .......... .......... .......... .......... 23% 11.1M 9s\n",
      " 30350K .......... .......... .......... .......... .......... 23% 10.4M 9s\n",
      " 30400K .......... .......... .......... .......... .......... 23% 11.9M 9s\n",
      " 30450K .......... .......... .......... .......... .......... 23% 11.3M 9s\n",
      " 30500K .......... .......... .......... .......... .......... 23% 11.5M 9s\n",
      " 30550K .......... .......... .......... .......... .......... 23% 11.3M 9s\n",
      " 30600K .......... .......... .......... .......... .......... 23% 10.2M 9s\n",
      " 30650K .......... .......... .......... .......... .......... 23% 12.1M 9s\n",
      " 30700K .......... .......... .......... .......... .......... 23% 10.5M 9s\n",
      " 30750K .......... .......... .......... .......... .......... 24% 12.2M 9s\n",
      " 30800K .......... .......... .......... .......... .......... 24% 9.32M 9s\n",
      " 30850K .......... .......... .......... .......... .......... 24% 8.31M 9s\n",
      " 30900K .......... .......... .......... .......... .......... 24% 27.4M 9s\n",
      " 30950K .......... .......... .......... .......... .......... 24% 11.9M 9s\n",
      " 31000K .......... .......... .......... .......... .......... 24% 8.71M 9s\n",
      " 31050K .......... .......... .......... .......... .......... 24% 7.08M 9s\n",
      " 31100K .......... .......... .......... .......... .......... 24% 50.2M 9s\n",
      " 31150K .......... .......... .......... .......... .......... 24% 11.4M 9s\n",
      " 31200K .......... .......... .......... .......... .......... 24% 7.55M 9s\n",
      " 31250K .......... .......... .......... .......... .......... 24% 13.9M 9s\n",
      " 31300K .......... .......... .......... .......... .......... 24% 11.1M 9s\n",
      " 31350K .......... .......... .......... .......... .......... 24% 13.9M 9s\n",
      " 31400K .......... .......... .......... .......... .......... 24% 7.83M 9s\n",
      " 31450K .......... .......... .......... .......... .......... 24% 13.9M 9s\n",
      " 31500K .......... .......... .......... .......... .......... 24% 14.0M 9s\n",
      " 31550K .......... .......... .......... .......... .......... 24% 11.9M 9s\n",
      " 31600K .......... .......... .......... .......... .......... 24% 11.9M 9s\n",
      " 31650K .......... .......... .......... .......... .......... 24% 8.77M 9s\n",
      " 31700K .......... .......... .......... .......... .......... 24% 9.89M 9s\n",
      " 31750K .......... .......... .......... .......... .......... 24% 13.4M 9s\n",
      " 31800K .......... .......... .......... .......... .......... 24% 10.9M 9s\n",
      " 31850K .......... .......... .......... .......... .......... 24% 14.7M 9s\n",
      " 31900K .......... .......... .......... .......... .......... 24% 10.4M 9s\n",
      " 31950K .......... .......... .......... .......... .......... 24% 11.9M 9s\n",
      " 32000K .......... .......... .......... .......... .......... 24% 9.74M 9s\n",
      " 32050K .......... .......... .......... .......... .......... 25% 13.9M 9s\n",
      " 32100K .......... .......... .......... .......... .......... 25% 9.95M 9s\n",
      " 32150K .......... .......... .......... .......... .......... 25% 14.5M 9s\n",
      " 32200K .......... .......... .......... .......... .......... 25% 9.89M 9s\n",
      " 32250K .......... .......... .......... .......... .......... 25% 8.74M 9s\n",
      " 32300K .......... .......... .......... .......... .......... 25% 15.9M 9s\n",
      " 32350K .......... .......... .......... .......... .......... 25% 12.7M 9s\n",
      " 32400K .......... .......... .......... .......... .......... 25% 8.59M 9s\n",
      " 32450K .......... .......... .......... .......... .......... 25% 14.4M 9s\n",
      " 32500K .......... .......... .......... .......... .......... 25% 12.3M 9s\n",
      " 32550K .......... .......... .......... .......... .......... 25% 11.3M 9s\n",
      " 32600K .......... .......... .......... .......... .......... 25% 7.53M 9s\n",
      " 32650K .......... .......... .......... .......... .......... 25% 15.5M 9s\n",
      " 32700K .......... .......... .......... .......... .......... 25% 9.19M 9s\n",
      " 32750K .......... .......... .......... .......... .......... 25% 21.8M 9s\n",
      " 32800K .......... .......... .......... .......... .......... 25% 7.40M 9s\n",
      " 32850K .......... .......... .......... .......... .......... 25% 15.5M 9s\n",
      " 32900K .......... .......... .......... .......... .......... 25% 11.2M 9s\n",
      " 32950K .......... .......... .......... .......... .......... 25%  588K 9s\n",
      " 33000K .......... .......... .......... .......... .......... 25% 15.8M 9s\n",
      " 33050K .......... .......... .......... .......... .......... 25%  709M 9s\n",
      " 33100K .......... .......... .......... .......... .......... 25%  744M 9s\n",
      " 33150K .......... .......... .......... .......... .......... 25%  612M 9s\n",
      " 33200K .......... .......... .......... .......... .......... 25% 3.65M 9s\n",
      " 33250K .......... .......... .......... .......... .......... 25% 13.3M 9s\n",
      " 33300K .......... .......... .......... .......... .......... 26%  682M 9s\n",
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      " 33500K .......... .......... .......... .......... .......... 26% 10.0M 9s\n",
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      " 33700K .......... .......... .......... .......... .......... 26%  714M 9s\n",
      " 33750K .......... .......... .......... .......... .......... 26%  436M 9s\n",
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      " 33850K .......... .......... .......... .......... .......... 26%  722M 9s\n",
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      " 34000K .......... .......... .......... .......... .......... 26%  598M 9s\n",
      " 34050K .......... .......... .......... .......... .......... 26%  603M 9s\n",
      " 34100K .......... .......... .......... .......... .......... 26%  721M 9s\n",
      " 34150K .......... .......... .......... .......... .......... 26%  374M 9s\n",
      " 34200K .......... .......... .......... .......... .......... 26% 13.7M 9s\n",
      " 34250K .......... .......... .......... .......... .......... 26% 24.3M 9s\n",
      " 34300K .......... .......... .......... .......... .......... 26% 15.0M 9s\n",
      " 34350K .......... .......... .......... .......... .......... 26% 8.66M 9s\n",
      " 34400K .......... .......... .......... .......... .......... 26% 12.0M 9s\n",
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      " 34500K .......... .......... .......... .......... .......... 26% 14.5M 9s\n",
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      " 34600K .......... .......... .......... .......... .......... 27% 11.4M 9s\n",
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      " 34700K .......... .......... .......... .......... .......... 27% 10.7M 9s\n",
      " 34750K .......... .......... .......... .......... .......... 27% 12.5M 9s\n",
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      " 34950K .......... .......... .......... .......... .......... 27% 8.42M 9s\n",
      " 35000K .......... .......... .......... .......... .......... 27% 19.7M 9s\n",
      " 35050K .......... .......... .......... .......... .......... 27% 8.83M 9s\n",
      " 35100K .......... .......... .......... .......... .......... 27% 13.6M 9s\n",
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      " 35200K .......... .......... .......... .......... .......... 27% 14.2M 9s\n",
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      " 35300K .......... .......... .......... .......... .......... 27% 16.9M 9s\n",
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      " 35400K .......... .......... .......... .......... .......... 27% 13.5M 9s\n",
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      " 35500K .......... .......... .......... .......... .......... 27% 15.7M 9s\n",
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      " 35600K .......... .......... .......... .......... .......... 27% 11.9M 9s\n",
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      " 35700K .......... .......... .......... .......... .......... 27% 11.9M 9s\n",
      " 35750K .......... .......... .......... .......... .......... 27% 10.7M 9s\n",
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      " 35850K .......... .......... .......... .......... .......... 27% 13.6M 9s\n",
      " 35900K .......... .......... .......... .......... .......... 28% 12.0M 9s\n",
      " 35950K .......... .......... .......... .......... .......... 28% 10.0M 9s\n",
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      " 36050K .......... .......... .......... .......... .......... 28% 11.8M 9s\n",
      " 36100K .......... .......... .......... .......... .......... 28% 10.5M 9s\n",
      " 36150K .......... .......... .......... .......... .......... 28% 16.4M 9s\n",
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      " 36250K .......... .......... .......... .......... .......... 28% 12.5M 9s\n",
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      " 37050K .......... .......... .......... .......... .......... 28% 12.7M 9s\n",
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      " 37150K .......... .......... .......... .......... .......... 29%  710M 9s\n",
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      " 38450K .......... .......... .......... .......... .......... 30% 11.0M 8s\n",
      " 38500K .......... .......... .......... .......... .......... 30%  734K 9s\n",
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      " 39950K .......... .......... .......... .......... .......... 31% 11.1M 8s\n",
      " 40000K .......... .......... .......... .......... .......... 31% 13.2M 8s\n",
      " 40050K .......... .......... .......... .......... .......... 31% 11.6M 8s\n",
      " 40100K .......... .......... .......... .......... .......... 31% 9.74M 8s\n",
      " 40150K .......... .......... .......... .......... .......... 31% 11.9M 8s\n",
      " 40200K .......... .......... .......... .......... .......... 31% 7.76M 8s\n",
      " 40250K .......... .......... .......... .......... .......... 31% 25.1M 8s\n",
      " 40300K .......... .......... .......... .......... .......... 31% 11.0M 8s\n",
      " 40350K .......... .......... .......... .......... .......... 31% 7.28M 8s\n",
      " 40400K .......... .......... .......... .......... .......... 31% 22.8M 8s\n",
      " 40450K .......... .......... .......... .......... .......... 31% 11.9M 8s\n",
      " 40500K .......... .......... .......... .......... .......... 31% 9.87M 8s\n",
      " 40550K .......... .......... .......... .......... .......... 31% 10.9M 8s\n",
      " 40600K .......... .......... .......... .......... .......... 31% 10.3M 8s\n",
      " 40650K .......... .......... .......... .......... .......... 31% 11.1M 8s\n",
      " 40700K .......... .......... .......... .......... .......... 31% 7.81M 8s\n",
      " 40750K .......... .......... .......... .......... .......... 31% 25.8M 8s\n",
      " 40800K .......... .......... .......... .......... .......... 31% 7.91M 8s\n",
      " 40850K .......... .......... .......... .......... .......... 31% 11.0M 8s\n",
      " 40900K .......... .......... .......... .......... .......... 31% 12.3M 8s\n",
      " 40950K .......... .......... .......... .......... .......... 31% 12.3M 8s\n",
      " 41000K .......... .......... .......... .......... .......... 32% 8.74M 8s\n",
      " 41050K .......... .......... .......... .......... .......... 32% 10.3M 8s\n",
      " 41100K .......... .......... .......... .......... .......... 32% 12.0M 8s\n",
      " 41150K .......... .......... .......... .......... .......... 32% 16.6M 8s\n",
      " 41200K .......... .......... .......... .......... .......... 32% 7.76M 8s\n",
      " 41250K .......... .......... .......... .......... .......... 32% 14.5M 8s\n",
      " 41300K .......... .......... .......... .......... .......... 32% 10.9M 8s\n",
      " 41350K .......... .......... .......... .......... .......... 32% 11.4M 8s\n",
      " 41400K .......... .......... .......... .......... .......... 32% 10.6M 8s\n",
      " 41450K .......... .......... .......... .......... .......... 32% 11.8M 8s\n",
      " 41500K .......... .......... .......... .......... .......... 32%  520K 8s\n",
      " 41550K .......... .......... .......... .......... .......... 32% 11.2M 8s\n",
      " 41600K .......... .......... .......... .......... .......... 32% 35.1M 8s\n",
      " 41650K .......... .......... .......... .......... .......... 32%  738M 8s\n",
      " 41700K .......... .......... .......... .......... .......... 32%  534M 8s\n",
      " 41750K .......... .......... .......... .......... .......... 32%  747M 8s\n",
      " 41800K .......... .......... .......... .......... .......... 32%  703M 8s\n",
      " 41850K .......... .......... .......... .......... .......... 32%  641M 8s\n",
      " 41900K .......... .......... .......... .......... .......... 32%  765M 8s\n",
      " 41950K .......... .......... .......... .......... .......... 32%  492M 8s\n",
      " 42000K .......... .......... .......... .......... .......... 32%  673M 8s\n",
      " 42050K .......... .......... .......... .......... .......... 32%  762M 8s\n",
      " 42100K .......... .......... .......... .......... .......... 32%  650M 8s\n",
      " 42150K .......... .......... .......... .......... .......... 32%  763M 8s\n",
      " 42200K .......... .......... .......... .......... .......... 32%  555M 8s\n",
      " 42250K .......... .......... .......... .......... .......... 32%  352M 8s\n",
      " 42300K .......... .......... .......... .......... .......... 33%  199M 8s\n",
      " 42350K .......... .......... .......... .......... .......... 33%  303M 8s\n",
      " 42400K .......... .......... .......... .......... .......... 33%  310M 8s\n",
      " 42450K .......... .......... .......... .......... .......... 33%  453M 8s\n",
      " 42500K .......... .......... .......... .......... .......... 33%  502M 8s\n",
      " 42550K .......... .......... .......... .......... .......... 33%  724M 8s\n",
      " 42600K .......... .......... .......... .......... .......... 33%  281M 8s\n",
      " 42650K .......... .......... .......... .......... .......... 33%  105M 8s\n",
      " 42700K .......... .......... .......... .......... .......... 33% 11.3M 8s\n",
      " 42750K .......... .......... .......... .......... .......... 33% 10.7M 8s\n",
      " 42800K .......... .......... .......... .......... .......... 33% 4.64M 8s\n",
      " 42850K .......... .......... .......... .......... .......... 33%  132M 8s\n",
      " 42900K .......... .......... .......... .......... .......... 33% 21.2M 8s\n",
      " 42950K .......... .......... .......... .......... .......... 33% 9.13M 8s\n",
      " 43000K .......... .......... .......... .......... .......... 33% 12.6M 8s\n",
      " 43050K .......... .......... .......... .......... .......... 33% 13.8M 8s\n",
      " 43100K .......... .......... .......... .......... .......... 33% 11.1M 8s\n",
      " 43150K .......... .......... .......... .......... .......... 33% 9.92M 8s\n",
      " 43200K .......... .......... .......... .......... .......... 33% 13.5M 8s\n",
      " 43250K .......... .......... .......... .......... .......... 33% 10.4M 8s\n",
      " 43300K .......... .......... .......... .......... .......... 33% 10.8M 8s\n",
      " 43350K .......... .......... .......... .......... .......... 33% 13.5M 8s\n",
      " 43400K .......... .......... .......... .......... .......... 33% 10.8M 8s\n",
      " 43450K .......... .......... .......... .......... .......... 33% 12.8M 8s\n",
      " 43500K .......... .......... .......... .......... .......... 33% 12.2M 8s\n",
      " 43550K .......... .......... .......... .......... .......... 33% 7.54M 8s\n",
      " 43600K .......... .......... .......... .......... .......... 34% 17.7M 8s\n",
      " 43650K .......... .......... .......... .......... .......... 34% 11.8M 8s\n",
      " 43700K .......... .......... .......... .......... .......... 34% 11.4M 8s\n",
      " 43750K .......... .......... .......... .......... .......... 34% 10.2M 8s\n",
      " 43800K .......... .......... .......... .......... .......... 34% 11.8M 8s\n",
      " 43850K .......... .......... .......... .......... .......... 34% 11.6M 8s\n",
      " 43900K .......... .......... .......... .......... .......... 34% 11.3M 8s\n",
      " 43950K .......... .......... .......... .......... .......... 34% 11.0M 8s\n",
      " 44000K .......... .......... .......... .......... .......... 34% 9.17M 8s\n",
      " 44050K .......... .......... .......... .......... .......... 34% 11.7M 8s\n",
      " 44100K .......... .......... .......... .......... .......... 34% 14.5M 8s\n",
      " 44150K .......... .......... .......... .......... .......... 34% 11.6M 8s\n",
      " 44200K .......... .......... .......... .......... .......... 34% 7.85M 8s\n",
      " 44250K .......... .......... .......... .......... .......... 34% 13.8M 8s\n",
      " 44300K .......... .......... .......... .......... .......... 34% 14.1M 8s\n",
      " 44350K .......... .......... .......... .......... .......... 34% 11.8M 8s\n",
      " 44400K .......... .......... .......... .......... .......... 34% 6.83M 8s\n",
      " 44450K .......... .......... .......... .......... .......... 34% 18.7M 8s\n",
      " 44500K .......... .......... .......... .......... .......... 34% 11.7M 8s\n",
      " 44550K .......... .......... .......... .......... .......... 34% 12.0M 8s\n",
      " 44600K .......... .......... .......... .......... .......... 34% 9.89M 8s\n",
      " 44650K .......... .......... .......... .......... .......... 34% 12.0M 8s\n",
      " 44700K .......... .......... .......... .......... .......... 34% 9.97M 8s\n",
      " 44750K .......... .......... .......... .......... .......... 34% 13.0M 8s\n",
      " 44800K .......... .......... .......... .......... .......... 34% 11.9M 8s\n",
      " 44850K .......... .......... .......... .......... .......... 35% 10.2M 8s\n",
      " 44900K .......... .......... .......... .......... .......... 35% 12.2M 8s\n",
      " 44950K .......... .......... .......... .......... .......... 35% 11.1M 8s\n",
      " 45000K .......... .......... .......... .......... .......... 35% 10.9M 8s\n",
      " 45050K .......... .......... .......... .......... .......... 35% 12.8M 8s\n",
      " 45100K .......... .......... .......... .......... .......... 35% 9.69M 8s\n",
      " 45150K .......... .......... .......... .......... .......... 35% 10.5M 8s\n",
      " 45200K .......... .......... .......... .......... .......... 35% 13.6M 8s\n",
      " 45250K .......... .......... .......... .......... .......... 35% 10.7M 8s\n",
      " 45300K .......... .......... .......... .......... .......... 35% 11.1M 8s\n",
      " 45350K .......... .......... .......... .......... .......... 35% 14.4M 8s\n",
      " 45400K .......... .......... .......... .......... .......... 35% 7.57M 8s\n",
      " 45450K .......... .......... .......... .......... .......... 35% 15.2M 8s\n",
      " 45500K .......... .......... .......... .......... .......... 35% 10.2M 8s\n",
      " 45550K .......... .......... .......... .......... .......... 35% 14.8M 8s\n",
      " 45600K .......... .......... .......... .......... .......... 35%  571K 8s\n",
      " 45650K .......... .......... .......... .......... .......... 35% 9.24M 8s\n",
      " 45700K .......... .......... .......... .......... .......... 35%  118M 8s\n",
      " 45750K .......... .......... .......... .......... .......... 35%  709M 8s\n",
      " 45800K .......... .......... .......... .......... .......... 35%  473M 8s\n",
      " 45850K .......... .......... .......... .......... .......... 35%  687M 8s\n",
      " 45900K .......... .......... .......... .......... .......... 35%  728M 8s\n",
      " 45950K .......... .......... .......... .......... .......... 35%  358M 8s\n",
      " 46000K .......... .......... .......... .......... .......... 35%  504M 8s\n",
      " 46050K .......... .......... .......... .......... .......... 35%  501M 8s\n",
      " 46100K .......... .......... .......... .......... .......... 35%  705M 8s\n",
      " 46150K .......... .......... .......... .......... .......... 36%  198M 8s\n",
      " 46200K .......... .......... .......... .......... .......... 36%  283M 8s\n",
      " 46250K .......... .......... .......... .......... .......... 36%  380M 8s\n",
      " 46300K .......... .......... .......... .......... .......... 36%  288M 8s\n",
      " 46350K .......... .......... .......... .......... .......... 36%  462M 8s\n",
      " 46400K .......... .......... .......... .......... .......... 36%  364M 8s\n",
      " 46450K .......... .......... .......... .......... .......... 36%  377M 8s\n",
      " 46500K .......... .......... .......... .......... .......... 36%  396M 8s\n",
      " 46550K .......... .......... .......... .......... .......... 36%  345M 8s\n",
      " 46600K .......... .......... .......... .......... .......... 36%  300M 8s\n",
      " 46650K .......... .......... .......... .......... .......... 36%  182M 8s\n",
      " 46700K .......... .......... .......... .......... .......... 36% 10.1M 8s\n",
      " 46750K .......... .......... .......... .......... .......... 36% 10.9M 8s\n",
      " 46800K .......... .......... .......... .......... .......... 36% 11.7M 8s\n",
      " 46850K .......... .......... .......... .......... .......... 36% 6.55M 8s\n",
      " 46900K .......... .......... .......... .......... .......... 36% 54.4M 8s\n",
      " 46950K .......... .......... .......... .......... .......... 36% 9.12M 8s\n",
      " 47000K .......... .......... .......... .......... .......... 36% 13.4M 8s\n",
      " 47050K .......... .......... .......... .......... .......... 36% 11.7M 8s\n",
      " 47100K .......... .......... .......... .......... .......... 36% 11.6M 8s\n",
      " 47150K .......... .......... .......... .......... .......... 36% 12.4M 8s\n",
      " 47200K .......... .......... .......... .......... .......... 36% 6.60M 8s\n",
      " 47250K .......... .......... .......... .......... .......... 36% 27.9M 8s\n",
      " 47300K .......... .......... .......... .......... .......... 36% 10.3M 8s\n",
      " 47350K .......... .......... .......... .......... .......... 36% 13.8M 8s\n",
      " 47400K .......... .......... .......... .......... .......... 36% 8.08M 8s\n",
      " 47450K .......... .......... .......... .......... .......... 37% 12.4M 8s\n",
      " 47500K .......... .......... .......... .......... .......... 37% 11.8M 8s\n",
      " 47550K .......... .......... .......... .......... .......... 37% 14.2M 8s\n",
      " 47600K .......... .......... .......... .......... .......... 37% 6.94M 8s\n",
      " 47650K .......... .......... .......... .......... .......... 37% 17.5M 8s\n",
      " 47700K .......... .......... .......... .......... .......... 37% 11.8M 8s\n",
      " 47750K .......... .......... .......... .......... .......... 37% 12.1M 8s\n",
      " 47800K .......... .......... .......... .......... .......... 37% 9.53M 8s\n",
      " 47850K .......... .......... .......... .......... .......... 37% 11.9M 8s\n",
      " 47900K .......... .......... .......... .......... .......... 37% 11.9M 8s\n",
      " 47950K .......... .......... .......... .......... .......... 37% 11.0M 8s\n",
      " 48000K .......... .......... .......... .......... .......... 37% 10.5M 8s\n",
      " 48050K .......... .......... .......... .......... .......... 37% 11.6M 8s\n",
      " 48100K .......... .......... .......... .......... .......... 37% 11.7M 8s\n",
      " 48150K .......... .......... .......... .......... .......... 37% 12.3M 8s\n",
      " 48200K .......... .......... .......... .......... .......... 37% 9.94M 8s\n",
      " 48250K .......... .......... .......... .......... .......... 37% 12.9M 8s\n",
      " 48300K .......... .......... .......... .......... .......... 37% 10.1M 8s\n",
      " 48350K .......... .......... .......... .......... .......... 37% 11.9M 8s\n",
      " 48400K .......... .......... .......... .......... .......... 37% 12.0M 8s\n",
      " 48450K .......... .......... .......... .......... .......... 37% 11.3M 8s\n",
      " 48500K .......... .......... .......... .......... .......... 37% 11.7M 8s\n",
      " 48550K .......... .......... .......... .......... .......... 37% 10.4M 8s\n",
      " 48600K .......... .......... .......... .......... .......... 37% 10.1M 8s\n",
      " 48650K .......... .......... .......... .......... .......... 37% 13.6M 8s\n",
      " 48700K .......... .......... .......... .......... .......... 38% 10.7M 8s\n",
      " 48750K .......... .......... .......... .......... .......... 38% 12.5M 8s\n",
      " 48800K .......... .......... .......... .......... .......... 38% 10.3M 8s\n",
      " 48850K .......... .......... .......... .......... .......... 38% 11.8M 7s\n",
      " 48900K .......... .......... .......... .......... .......... 38% 11.1M 7s\n",
      " 48950K .......... .......... .......... .......... .......... 38% 11.9M 7s\n",
      " 49000K .......... .......... .......... .......... .......... 38% 8.57M 7s\n",
      " 49050K .......... .......... .......... .......... .......... 38% 15.5M 7s\n",
      " 49100K .......... .......... .......... .......... .......... 38% 10.6M 7s\n",
      " 49150K .......... .......... .......... .......... .......... 38% 12.3M 7s\n",
      " 49200K .......... .......... .......... .......... .......... 38% 8.81M 7s\n",
      " 49250K .......... .......... .......... .......... .......... 38% 7.55M 7s\n",
      " 49300K .......... .......... .......... .......... .......... 38% 27.1M 7s\n",
      " 49350K .......... .......... .......... .......... .......... 38% 14.3M 7s\n",
      " 49400K .......... .......... .......... .......... .......... 38% 8.27M 7s\n",
      " 49450K .......... .......... .......... .......... .......... 38% 11.1M 7s\n",
      " 49500K .......... .......... .......... .......... .......... 38% 12.4M 7s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 49550K .......... .......... .......... .......... .......... 38% 12.9M 7s\n",
      " 49600K .......... .......... .......... .......... .......... 38% 9.57M 7s\n",
      " 49650K .......... .......... .......... .......... .......... 38% 6.50M 7s\n",
      " 49700K .......... .......... .......... .......... .......... 38% 67.3M 7s\n",
      " 49750K .......... .......... .......... .......... .......... 38%  545K 8s\n",
      " 49800K .......... .......... .......... .......... .......... 38% 22.6M 8s\n",
      " 49850K .......... .......... .......... .......... .......... 38%  106M 8s\n",
      " 49900K .......... .......... .......... .......... .......... 38%  541M 8s\n",
      " 49950K .......... .......... .......... .......... .......... 38%  712M 7s\n",
      " 50000K .......... .......... .......... .......... .......... 39%  180M 7s\n",
      " 50050K .......... .......... .......... .......... .......... 39%  362M 7s\n",
      " 50100K .......... .......... .......... .......... .......... 39%  677M 7s\n",
      " 50150K .......... .......... .......... .......... .......... 39%  417M 7s\n",
      " 50200K .......... .......... .......... .......... .......... 39%  577M 7s\n",
      " 50250K .......... .......... .......... .......... .......... 39%  504M 7s\n",
      " 50300K .......... .......... .......... .......... .......... 39%  417M 7s\n",
      " 50350K .......... .......... .......... .......... .......... 39%  469M 7s\n",
      " 50400K .......... .......... .......... .......... .......... 39%  269M 7s\n",
      " 50450K .......... .......... .......... .......... .......... 39%  461M 7s\n",
      " 50500K .......... .......... .......... .......... .......... 39%  408M 7s\n",
      " 50550K .......... .......... .......... .......... .......... 39%  288M 7s\n",
      " 50600K .......... .......... .......... .......... .......... 39%  377M 7s\n",
      " 50650K .......... .......... .......... .......... .......... 39%  421M 7s\n",
      " 50700K .......... .......... .......... .......... .......... 39%  360M 7s\n",
      " 50750K .......... .......... .......... .......... .......... 39%  260M 7s\n",
      " 50800K .......... .......... .......... .......... .......... 39%  473M 7s\n",
      " 50850K .......... .......... .......... .......... .......... 39% 13.7M 7s\n",
      " 50900K .......... .......... .......... .......... .......... 39% 14.8M 7s\n",
      " 50950K .......... .......... .......... .......... .......... 39% 6.81M 7s\n",
      " 51000K .......... .......... .......... .......... .......... 39% 16.5M 7s\n",
      " 51050K .......... .......... .......... .......... .......... 39% 12.1M 7s\n",
      " 51100K .......... .......... .......... .......... .......... 39% 12.1M 7s\n",
      " 51150K .......... .......... .......... .......... .......... 39% 11.9M 7s\n",
      " 51200K .......... .......... .......... .......... .......... 39% 9.55M 7s\n",
      " 51250K .......... .......... .......... .......... .......... 39% 11.7M 7s\n",
      " 51300K .......... .......... .......... .......... .......... 40% 11.4M 7s\n",
      " 51350K .......... .......... .......... .......... .......... 40% 11.5M 7s\n",
      " 51400K .......... .......... .......... .......... .......... 40% 12.8M 7s\n",
      " 51450K .......... .......... .......... .......... .......... 40% 9.76M 7s\n",
      " 51500K .......... .......... .......... .......... .......... 40% 11.6M 7s\n",
      " 51550K .......... .......... .......... .......... .......... 40% 11.8M 7s\n",
      " 51600K .......... .......... .......... .......... .......... 40% 12.4M 7s\n",
      " 51650K .......... .......... .......... .......... .......... 40% 9.87M 7s\n",
      " 51700K .......... .......... .......... .......... .......... 40% 11.4M 7s\n",
      " 51750K .......... .......... .......... .......... .......... 40% 6.24M 7s\n",
      " 51800K .......... .......... .......... .......... .......... 40% 66.8M 7s\n",
      " 51850K .......... .......... .......... .......... .......... 40% 7.92M 7s\n",
      " 51900K .......... .......... .......... .......... .......... 40% 23.2M 7s\n",
      " 51950K .......... .......... .......... .......... .......... 40% 11.9M 7s\n",
      " 52000K .......... .......... .......... .......... .......... 40% 10.1M 7s\n",
      " 52050K .......... .......... .......... .......... .......... 40% 10.0M 7s\n",
      " 52100K .......... .......... .......... .......... .......... 40% 13.9M 7s\n",
      " 52150K .......... .......... .......... .......... .......... 40% 11.7M 7s\n",
      " 52200K .......... .......... .......... .......... .......... 40% 7.56M 7s\n",
      " 52250K .......... .......... .......... .......... .......... 40% 18.3M 7s\n",
      " 52300K .......... .......... .......... .......... .......... 40% 12.2M 7s\n",
      " 52350K .......... .......... .......... .......... .......... 40% 11.5M 7s\n",
      " 52400K .......... .......... .......... .......... .......... 40% 8.86M 7s\n",
      " 52450K .......... .......... .......... .......... .......... 40% 12.0M 7s\n",
      " 52500K .......... .......... .......... .......... .......... 40% 13.8M 7s\n",
      " 52550K .......... .......... .......... .......... .......... 41% 11.6M 7s\n",
      " 52600K .......... .......... .......... .......... .......... 41% 8.54M 7s\n",
      " 52650K .......... .......... .......... .......... .......... 41% 11.7M 7s\n",
      " 52700K .......... .......... .......... .......... .......... 41% 9.45M 7s\n",
      " 52750K .......... .......... .......... .......... .......... 41% 19.2M 7s\n",
      " 52800K .......... .......... .......... .......... .......... 41% 8.33M 7s\n",
      " 52850K .......... .......... .......... .......... .......... 41% 9.85M 7s\n",
      " 52900K .......... .......... .......... .......... .......... 41% 16.4M 7s\n",
      " 52950K .......... .......... .......... .......... .......... 41% 11.5M 7s\n",
      " 53000K .......... .......... .......... .......... .......... 41% 11.8M 7s\n",
      " 53050K .......... .......... .......... .......... .......... 41% 9.87M 7s\n",
      " 53100K .......... .......... .......... .......... .......... 41% 10.8M 7s\n",
      " 53150K .......... .......... .......... .......... .......... 41% 13.1M 7s\n",
      " 53200K .......... .......... .......... .......... .......... 41%  619K 7s\n",
      " 53250K .......... .......... .......... .......... .......... 41% 14.2M 7s\n",
      " 53300K .......... .......... .......... .......... .......... 41%  359M 7s\n",
      " 53350K .......... .......... .......... .......... .......... 41%  312M 7s\n",
      " 53400K .......... .......... .......... .......... .......... 41%  396M 7s\n",
      " 53450K .......... .......... .......... .......... .......... 41%  396M 7s\n",
      " 53500K .......... .......... .......... .......... .......... 41%  414M 7s\n",
      " 53550K .......... .......... .......... .......... .......... 41% 2.14M 7s\n",
      " 53600K .......... .......... .......... .......... .......... 41% 11.8M 7s\n",
      " 53650K .......... .......... .......... .......... .......... 41% 86.0M 7s\n",
      " 53700K .......... .......... .......... .......... .......... 41%  688M 7s\n",
      " 53750K .......... .......... .......... .......... .......... 41%  483M 7s\n",
      " 53800K .......... .......... .......... .......... .......... 41% 2.43M 7s\n",
      " 53850K .......... .......... .......... .......... .......... 42% 19.5M 7s\n",
      " 53900K .......... .......... .......... .......... .......... 42%  510M 7s\n",
      " 53950K .......... .......... .......... .......... .......... 42%  522M 7s\n",
      " 54000K .......... .......... .......... .......... .......... 42% 23.8M 7s\n",
      " 54050K .......... .......... .......... .......... .......... 42% 12.2M 7s\n",
      " 54100K .......... .......... .......... .......... .......... 42%  597M 7s\n",
      " 54150K .......... .......... .......... .......... .......... 42%  524M 7s\n",
      " 54200K .......... .......... .......... .......... .......... 42%  576M 7s\n",
      " 54250K .......... .......... .......... .......... .......... 42%  497M 7s\n",
      " 54300K .......... .......... .......... .......... .......... 42%  738M 7s\n",
      " 54350K .......... .......... .......... .......... .......... 42%  773M 7s\n",
      " 54400K .......... .......... .......... .......... .......... 42%  507M 7s\n",
      " 54450K .......... .......... .......... .......... .......... 42%  733M 7s\n",
      " 54500K .......... .......... .......... .......... .......... 42%  464M 7s\n",
      " 54550K .......... .......... .......... .......... .......... 42% 87.5M 7s\n",
      " 54600K .......... .......... .......... .......... .......... 42%  569M 7s\n",
      " 54650K .......... .......... .......... .......... .......... 42%  351M 7s\n",
      " 54700K .......... .......... .......... .......... .......... 42% 22.2M 7s\n",
      " 54750K .......... .......... .......... .......... .......... 42% 14.4M 7s\n",
      " 54800K .......... .......... .......... .......... .......... 42% 12.9M 7s\n",
      " 54850K .......... .......... .......... .......... .......... 42% 12.0M 7s\n",
      " 54900K .......... .......... .......... .......... .......... 42% 9.60M 7s\n",
      " 54950K .......... .......... .......... .......... .......... 42% 11.9M 7s\n",
      " 55000K .......... .......... .......... .......... .......... 42% 11.0M 7s\n",
      " 55050K .......... .......... .......... .......... .......... 42% 12.8M 7s\n",
      " 55100K .......... .......... .......... .......... .......... 42% 8.83M 7s\n",
      " 55150K .......... .......... .......... .......... .......... 43% 13.5M 7s\n",
      " 55200K .......... .......... .......... .......... .......... 43% 11.1M 7s\n",
      " 55250K .......... .......... .......... .......... .......... 43% 12.1M 7s\n",
      " 55300K .......... .......... .......... .......... .......... 43% 10.7M 7s\n",
      " 55350K .......... .......... .......... .......... .......... 43% 11.3M 7s\n",
      " 55400K .......... .......... .......... .......... .......... 43% 11.5M 7s\n",
      " 55450K .......... .......... .......... .......... .......... 43% 11.7M 7s\n",
      " 55500K .......... .......... .......... .......... .......... 43% 11.2M 7s\n",
      " 55550K .......... .......... .......... .......... .......... 43% 11.2M 7s\n",
      " 55600K .......... .......... .......... .......... .......... 43% 9.68M 7s\n",
      " 55650K .......... .......... .......... .......... .......... 43% 13.5M 7s\n",
      " 55700K .......... .......... .......... .......... .......... 43% 11.9M 7s\n",
      " 55750K .......... .......... .......... .......... .......... 43% 11.4M 7s\n",
      " 55800K .......... .......... .......... .......... .......... 43% 7.31M 7s\n",
      " 55850K .......... .......... .......... .......... .......... 43% 15.1M 7s\n",
      " 55900K .......... .......... .......... .......... .......... 43% 11.9M 7s\n",
      " 55950K .......... .......... .......... .......... .......... 43% 14.0M 7s\n",
      " 56000K .......... .......... .......... .......... .......... 43% 7.95M 7s\n",
      " 56050K .......... .......... .......... .......... .......... 43% 13.9M 7s\n",
      " 56100K .......... .......... .......... .......... .......... 43% 11.4M 7s\n",
      " 56150K .......... .......... .......... .......... .......... 43% 12.0M 7s\n",
      " 56200K .......... .......... .......... .......... .......... 43% 10.0M 7s\n",
      " 56250K .......... .......... .......... .......... .......... 43% 11.1M 7s\n",
      " 56300K .......... .......... .......... .......... .......... 43% 12.5M 7s\n",
      " 56350K .......... .......... .......... .......... .......... 43% 11.8M 7s\n",
      " 56400K .......... .......... .......... .......... .......... 44% 10.7M 7s\n",
      " 56450K .......... .......... .......... .......... .......... 44% 10.7M 7s\n",
      " 56500K .......... .......... .......... .......... .......... 44% 10.3M 7s\n",
      " 56550K .......... .......... .......... .......... .......... 44% 14.0M 7s\n",
      " 56600K .......... .......... .......... .......... .......... 44% 11.3M 7s\n",
      " 56650K .......... .......... .......... .......... .......... 44% 11.5M 7s\n",
      " 56700K .......... .......... .......... .......... .......... 44% 12.0M 7s\n",
      " 56750K .......... .......... .......... .......... .......... 44% 10.1M 7s\n",
      " 56800K .......... .......... .......... .......... .......... 44% 12.3M 7s\n",
      " 56850K .......... .......... .......... .......... .......... 44% 11.0M 7s\n",
      " 56900K .......... .......... .......... .......... .......... 44% 8.97M 7s\n",
      " 56950K .......... .......... .......... .......... .......... 44% 17.2M 7s\n",
      " 57000K .......... .......... .......... .......... .......... 44% 9.35M 7s\n",
      " 57050K .......... .......... .......... .......... .......... 44% 12.4M 7s\n",
      " 57100K .......... .......... .......... .......... .......... 44% 12.0M 7s\n",
      " 57150K .......... .......... .......... .......... .......... 44% 11.8M 7s\n",
      " 57200K .......... .......... .......... .......... .......... 44% 8.56M 7s\n",
      " 57250K .......... .......... .......... .......... .......... 44% 11.9M 7s\n",
      " 57300K .......... .......... .......... .......... .......... 44% 13.9M 7s\n",
      " 57350K .......... .......... .......... .......... .......... 44% 10.5M 7s\n",
      " 57400K .......... .......... .......... .......... .......... 44% 9.82M 7s\n",
      " 57450K .......... .......... .......... .......... .......... 44% 6.66M 7s\n",
      " 57500K .......... .......... .......... .......... .......... 44% 66.8M 7s\n",
      " 57550K .......... .......... .......... .......... .......... 44%  584K 7s\n",
      " 57600K .......... .......... .......... .......... .......... 44% 11.2M 7s\n",
      " 57650K .......... .......... .......... .......... .......... 44%  465M 7s\n",
      " 57700K .......... .......... .......... .......... .......... 45%  307M 7s\n",
      " 57750K .......... .......... .......... .......... .......... 45%  297M 7s\n",
      " 57800K .......... .......... .......... .......... .......... 45% 10.5M 7s\n",
      " 57850K .......... .......... .......... .......... .......... 45% 7.35M 7s\n",
      " 57900K .......... .......... .......... .......... .......... 45%  239M 7s\n",
      " 57950K .......... .......... .......... .......... .......... 45%  718M 7s\n",
      " 58000K .......... .......... .......... .......... .......... 45%  659M 7s\n",
      " 58050K .......... .......... .......... .......... .......... 45% 5.61M 7s\n",
      " 58100K .......... .......... .......... .......... .......... 45% 24.8M 7s\n",
      " 58150K .......... .......... .......... .......... .......... 45%  533M 7s\n",
      " 58200K .......... .......... .......... .......... .......... 45%  653M 7s\n",
      " 58250K .......... .......... .......... .......... .......... 45% 8.36M 7s\n",
      " 58300K .......... .......... .......... .......... .......... 45% 11.9M 7s\n",
      " 58350K .......... .......... .......... .......... .......... 45%  531M 7s\n",
      " 58400K .......... .......... .......... .......... .......... 45%  546M 7s\n",
      " 58450K .......... .......... .......... .......... .......... 45%  732M 7s\n",
      " 58500K .......... .......... .......... .......... .......... 45%  739M 7s\n",
      " 58550K .......... .......... .......... .......... .......... 45%  620M 7s\n",
      " 58600K .......... .......... .......... .......... .......... 45%  617M 7s\n",
      " 58650K .......... .......... .......... .......... .......... 45%  637M 7s\n",
      " 58700K .......... .......... .......... .......... .......... 45%  709M 7s\n",
      " 58750K .......... .......... .......... .......... .......... 45%  723M 7s\n",
      " 58800K .......... .......... .......... .......... .......... 45%  510M 6s\n",
      " 58850K .......... .......... .......... .......... .......... 45%  488M 6s\n",
      " 58900K .......... .......... .......... .......... .......... 45%  402M 6s\n",
      " 58950K .......... .......... .......... .......... .......... 45% 25.9M 6s\n",
      " 59000K .......... .......... .......... .......... .......... 46% 8.69M 6s\n",
      " 59050K .......... .......... .......... .......... .......... 46% 7.30M 6s\n",
      " 59100K .......... .......... .......... .......... .......... 46% 42.0M 6s\n",
      " 59150K .......... .......... .......... .......... .......... 46% 12.6M 6s\n",
      " 59200K .......... .......... .......... .......... .......... 46% 8.39M 6s\n",
      " 59250K .......... .......... .......... .......... .......... 46% 12.3M 6s\n",
      " 59300K .......... .......... .......... .......... .......... 46% 11.3M 6s\n",
      " 59350K .......... .......... .......... .......... .......... 46% 14.9M 6s\n",
      " 59400K .......... .......... .......... .......... .......... 46% 6.27M 6s\n",
      " 59450K .......... .......... .......... .......... .......... 46% 24.6M 6s\n",
      " 59500K .......... .......... .......... .......... .......... 46% 11.1M 6s\n",
      " 59550K .......... .......... .......... .......... .......... 46% 12.2M 6s\n",
      " 59600K .......... .......... .......... .......... .......... 46% 11.2M 6s\n",
      " 59650K .......... .......... .......... .......... .......... 46% 8.54M 6s\n",
      " 59700K .......... .......... .......... .......... .......... 46% 14.6M 6s\n",
      " 59750K .......... .......... .......... .......... .......... 46% 11.9M 6s\n",
      " 59800K .......... .......... .......... .......... .......... 46% 6.39M 6s\n",
      " 59850K .......... .......... .......... .......... .......... 46% 58.6M 6s\n",
      " 59900K .......... .......... .......... .......... .......... 46% 10.1M 6s\n",
      " 59950K .......... .......... .......... .......... .......... 46% 11.9M 6s\n",
      " 60000K .......... .......... .......... .......... .......... 46% 11.5M 6s\n",
      " 60050K .......... .......... .......... .......... .......... 46% 11.9M 6s\n",
      " 60100K .......... .......... .......... .......... .......... 46% 12.0M 6s\n",
      " 60150K .......... .......... .......... .......... .......... 46% 9.98M 6s\n",
      " 60200K .......... .......... .......... .......... .......... 46% 11.7M 6s\n",
      " 60250K .......... .......... .......... .......... .......... 47% 11.6M 6s\n",
      " 60300K .......... .......... .......... .......... .......... 47% 11.1M 6s\n",
      " 60350K .......... .......... .......... .......... .......... 47% 10.0M 6s\n",
      " 60400K .......... .......... .......... .......... .......... 47% 12.3M 6s\n",
      " 60450K .......... .......... .......... .......... .......... 47% 12.1M 6s\n",
      " 60500K .......... .......... .......... .......... .......... 47% 10.7M 6s\n",
      " 60550K .......... .......... .......... .......... .......... 47% 11.9M 6s\n",
      " 60600K .......... .......... .......... .......... .......... 47% 6.90M 6s\n",
      " 60650K .......... .......... .......... .......... .......... 47% 12.4M 6s\n",
      " 60700K .......... .......... .......... .......... .......... 47% 18.4M 6s\n",
      " 60750K .......... .......... .......... .......... .......... 47% 13.4M 6s\n",
      " 60800K .......... .......... .......... .......... .......... 47% 8.83M 6s\n",
      " 60850K .......... .......... .......... .......... .......... 47% 12.0M 6s\n",
      " 60900K .......... .......... .......... .......... .......... 47% 11.4M 6s\n",
      " 60950K .......... .......... .......... .......... .......... 47% 13.5M 6s\n",
      " 61000K .......... .......... .......... .......... .......... 47%  515K 6s\n",
      " 61050K .......... .......... .......... .......... .......... 47% 8.98M 6s\n",
      " 61100K .......... .......... .......... .......... .......... 47%  210M 6s\n",
      " 61150K .......... .......... .......... .......... .......... 47%  695M 6s\n",
      " 61200K .......... .......... .......... .......... .......... 47%  625M 6s\n",
      " 61250K .......... .......... .......... .......... .......... 47%  306M 6s\n",
      " 61300K .......... .......... .......... .......... .......... 47%  762M 6s\n",
      " 61350K .......... .......... .......... .......... .......... 47%  608M 6s\n",
      " 61400K .......... .......... .......... .......... .......... 47%  642M 6s\n",
      " 61450K .......... .......... .......... .......... .......... 47% 1.78M 6s\n",
      " 61500K .......... .......... .......... .......... .......... 47% 54.8M 6s\n",
      " 61550K .......... .......... .......... .......... .......... 48%  165M 6s\n",
      " 61600K .......... .......... .......... .......... .......... 48%  330M 6s\n",
      " 61650K .......... .......... .......... .......... .......... 48%  588M 6s\n",
      " 61700K .......... .......... .......... .......... .......... 48%  681M 6s\n",
      " 61750K .......... .......... .......... .......... .......... 48%  560M 6s\n",
      " 61800K .......... .......... .......... .......... .......... 48%  650M 6s\n",
      " 61850K .......... .......... .......... .......... .......... 48% 1.69M 6s\n",
      " 61900K .......... .......... .......... .......... .......... 48% 34.5M 6s\n",
      " 61950K .......... .......... .......... .......... .......... 48%  453M 6s\n",
      " 62000K .......... .......... .......... .......... .......... 48%  259M 6s\n",
      " 62050K .......... .......... .......... .......... .......... 48%  740M 6s\n",
      " 62100K .......... .......... .......... .......... .......... 48%  714M 6s\n",
      " 62150K .......... .......... .......... .......... .......... 48% 25.3M 6s\n",
      " 62200K .......... .......... .......... .......... .......... 48% 6.92M 6s\n",
      " 62250K .......... .......... .......... .......... .......... 48%  544M 6s\n",
      " 62300K .......... .......... .......... .......... .......... 48%  720M 6s\n",
      " 62350K .......... .......... .......... .......... .......... 48%  741M 6s\n",
      " 62400K .......... .......... .......... .......... .......... 48%  510M 6s\n",
      " 62450K .......... .......... .......... .......... .......... 48%  591M 6s\n",
      " 62500K .......... .......... .......... .......... .......... 48%  615M 6s\n",
      " 62550K .......... .......... .......... .......... .......... 48%  780M 6s\n",
      " 62600K .......... .......... .......... .......... .......... 48%  585M 6s\n",
      " 62650K .......... .......... .......... .......... .......... 48%  607M 6s\n",
      " 62700K .......... .......... .......... .......... .......... 48%  695M 6s\n",
      " 62750K .......... .......... .......... .......... .......... 48%  610M 6s\n",
      " 62800K .......... .......... .......... .......... .......... 49%  607M 6s\n",
      " 62850K .......... .......... .......... .......... .......... 49%  245M 6s\n",
      " 62900K .......... .......... .......... .......... .......... 49%  285M 6s\n",
      " 62950K .......... .......... .......... .......... .......... 49% 40.6M 6s\n",
      " 63000K .......... .......... .......... .......... .......... 49% 11.7M 6s\n",
      " 63050K .......... .......... .......... .......... .......... 49% 9.51M 6s\n",
      " 63100K .......... .......... .......... .......... .......... 49% 12.0M 6s\n",
      " 63150K .......... .......... .......... .......... .......... 49% 12.2M 6s\n",
      " 63200K .......... .......... .......... .......... .......... 49% 11.7M 6s\n",
      " 63250K .......... .......... .......... .......... .......... 49% 10.9M 6s\n",
      " 63300K .......... .......... .......... .......... .......... 49% 11.8M 6s\n",
      " 63350K .......... .......... .......... .......... .......... 49% 10.6M 6s\n",
      " 63400K .......... .......... .......... .......... .......... 49% 10.9M 6s\n",
      " 63450K .......... .......... .......... .......... .......... 49% 6.55M 6s\n",
      " 63500K .......... .......... .......... .......... .......... 49% 41.9M 6s\n",
      " 63550K .......... .......... .......... .......... .......... 49% 13.1M 6s\n",
      " 63600K .......... .......... .......... .......... .......... 49% 8.46M 6s\n",
      " 63650K .......... .......... .......... .......... .......... 49% 14.5M 6s\n",
      " 63700K .......... .......... .......... .......... .......... 49% 11.5M 6s\n",
      " 63750K .......... .......... .......... .......... .......... 49% 10.3M 6s\n",
      " 63800K .......... .......... .......... .......... .......... 49% 9.18M 6s\n",
      " 63850K .......... .......... .......... .......... .......... 49% 13.5M 6s\n",
      " 63900K .......... .......... .......... .......... .......... 49% 11.0M 6s\n",
      " 63950K .......... .......... .......... .......... .......... 49% 12.8M 6s\n",
      " 64000K .......... .......... .......... .......... .......... 49% 9.62M 6s\n",
      " 64050K .......... .......... .......... .......... .......... 49% 10.2M 6s\n",
      " 64100K .......... .......... .......... .......... .......... 50% 17.3M 6s\n",
      " 64150K .......... .......... .......... .......... .......... 50% 11.9M 6s\n",
      " 64200K .......... .......... .......... .......... .......... 50% 8.62M 6s\n",
      " 64250K .......... .......... .......... .......... .......... 50%  556K 6s\n",
      " 64300K .......... .......... .......... .......... .......... 50% 6.43M 6s\n",
      " 64350K .......... .......... .......... .......... .......... 50%  194M 6s\n",
      " 64400K .......... .......... .......... .......... .......... 50%  579M 6s\n",
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      " 64550K .......... .......... .......... .......... .......... 50%  586M 6s\n",
      " 64600K .......... .......... .......... .......... .......... 50%  637M 6s\n",
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      " 76750K .......... .......... .......... .......... .......... 59% 11.8M 5s\n",
      " 76800K .......... .......... .......... .......... .......... 59% 9.94M 5s\n",
      " 76850K .......... .......... .......... .......... .......... 59% 11.6M 5s\n",
      " 76900K .......... .......... .......... .......... .......... 59% 11.9M 5s\n",
      " 76950K .......... .......... .......... .......... .......... 60% 11.7M 5s\n",
      " 77000K .......... .......... .......... .......... .......... 60% 8.67M 5s\n",
      " 77050K .......... .......... .......... .......... .......... 60% 13.2M 5s\n",
      " 77100K .......... .......... .......... .......... .......... 60% 11.5M 5s\n",
      " 77150K .......... .......... .......... .......... .......... 60% 9.73M 5s\n",
      " 77200K .......... .......... .......... .......... .......... 60% 9.90M 5s\n",
      " 77250K .......... .......... .......... .......... .......... 60% 11.8M 5s\n",
      " 77300K .......... .......... .......... .......... .......... 60% 14.5M 5s\n",
      " 77350K .......... .......... .......... .......... .......... 60% 11.7M 5s\n",
      " 77400K .......... .......... .......... .......... .......... 60% 7.71M 5s\n",
      " 77450K .......... .......... .......... .......... .......... 60% 10.2M 5s\n",
      " 77500K .......... .......... .......... .......... .......... 60% 12.6M 5s\n",
      " 77550K .......... .......... .......... .......... .......... 60% 13.0M 5s\n",
      " 77600K .......... .......... .......... .......... .......... 60% 11.1M 5s\n",
      " 77650K .......... .......... .......... .......... .......... 60% 9.68M 5s\n",
      " 77700K .......... .......... .......... .......... .......... 60% 14.3M 5s\n",
      " 77750K .......... .......... .......... .......... .......... 60% 11.4M 5s\n",
      " 77800K .......... .......... .......... .......... .......... 60% 12.1M 5s\n",
      " 77850K .......... .......... .......... .......... .......... 60% 9.72M 5s\n",
      " 77900K .......... .......... .......... .......... .......... 60% 12.1M 5s\n",
      " 77950K .......... .......... .......... .......... .......... 60% 11.0M 5s\n",
      " 78000K .......... .......... .......... .......... .......... 60% 11.7M 5s\n",
      " 78050K .......... .......... .......... .......... .......... 60% 12.2M 5s\n",
      " 78100K .......... .......... .......... .......... .......... 60% 8.55M 5s\n",
      " 78150K .......... .......... .......... .......... .......... 60% 13.8M 5s\n",
      " 78200K .......... .......... .......... .......... .......... 61% 11.7M 5s\n",
      " 78250K .......... .......... .......... .......... .......... 61% 9.83M 5s\n",
      " 78300K .......... .......... .......... .......... .......... 61% 8.30M 5s\n",
      " 78350K .......... .......... .......... .......... .......... 61% 27.8M 5s\n",
      " 78400K .......... .......... .......... .......... .......... 61% 10.4M 5s\n",
      " 78450K .......... .......... .......... .......... .......... 61% 10.9M 5s\n",
      " 78500K .......... .......... .......... .......... .......... 61% 10.4M 5s\n",
      " 78550K .......... .......... .......... .......... .......... 61% 13.0M 5s\n",
      " 78600K .......... .......... .......... .......... .......... 61% 7.14M 5s\n",
      " 78650K .......... .......... .......... .......... .......... 61% 21.3M 5s\n",
      " 78700K .......... .......... .......... .......... .......... 61% 11.7M 5s\n",
      " 78750K .......... .......... .......... .......... .......... 61%  568K 5s\n",
      " 78800K .......... .......... .......... .......... .......... 61%  109M 5s\n",
      " 78850K .......... .......... .......... .......... .......... 61%  464M 5s\n",
      " 78900K .......... .......... .......... .......... .......... 61% 32.7M 5s\n",
      " 78950K .......... .......... .......... .......... .......... 61%  427M 5s\n",
      " 79000K .......... .......... .......... .......... .......... 61% 4.33M 5s\n",
      " 79050K .......... .......... .......... .......... .......... 61% 13.0M 5s\n",
      " 79100K .......... .......... .......... .......... .......... 61%  166M 5s\n",
      " 79150K .......... .......... .......... .......... .......... 61%  483M 5s\n",
      " 79200K .......... .......... .......... .......... .......... 61% 7.67M 5s\n",
      " 79250K .......... .......... .......... .......... .......... 61% 7.23M 5s\n",
      " 79300K .......... .......... .......... .......... .......... 61% 25.5M 5s\n",
      " 79350K .......... .......... .......... .......... .......... 61%  296M 5s\n",
      " 79400K .......... .......... .......... .......... .......... 61%  381M 5s\n",
      " 79450K .......... .......... .......... .......... .......... 61%  313M 5s\n",
      " 79500K .......... .......... .......... .......... .......... 62%  203M 5s\n",
      " 79550K .......... .......... .......... .......... .......... 62%  461M 4s\n",
      " 79600K .......... .......... .......... .......... .......... 62%  495M 4s\n",
      " 79650K .......... .......... .......... .......... .......... 62%  692M 4s\n",
      " 79700K .......... .......... .......... .......... .......... 62%  471M 4s\n",
      " 79750K .......... .......... .......... .......... .......... 62%  380M 4s\n",
      " 79800K .......... .......... .......... .......... .......... 62%  571M 4s\n",
      " 79850K .......... .......... .......... .......... .......... 62%  388M 4s\n",
      " 79900K .......... .......... .......... .......... .......... 62%  336M 4s\n",
      " 79950K .......... .......... .......... .......... .......... 62%  453M 4s\n",
      " 80000K .......... .......... .......... .......... .......... 62%  316M 4s\n",
      " 80050K .......... .......... .......... .......... .......... 62%  288M 4s\n",
      " 80100K .......... .......... .......... .......... .......... 62% 52.3M 4s\n",
      " 80150K .......... .......... .......... .......... .......... 62% 16.1M 4s\n",
      " 80200K .......... .......... .......... .......... .......... 62% 9.25M 4s\n",
      " 80250K .......... .......... .......... .......... .......... 62% 9.55M 4s\n",
      " 80300K .......... .......... .......... .......... .......... 62% 17.7M 4s\n",
      " 80350K .......... .......... .......... .......... .......... 62% 11.8M 4s\n",
      " 80400K .......... .......... .......... .......... .......... 62% 8.36M 4s\n",
      " 80450K .......... .......... .......... .......... .......... 62% 12.5M 4s\n",
      " 80500K .......... .......... .......... .......... .......... 62% 9.59M 4s\n",
      " 80550K .......... .......... .......... .......... .......... 62% 19.4M 4s\n",
      " 80600K .......... .......... .......... .......... .......... 62% 8.62M 4s\n",
      " 80650K .......... .......... .......... .......... .......... 62% 11.9M 4s\n",
      " 80700K .......... .......... .......... .......... .......... 62% 11.4M 4s\n",
      " 80750K .......... .......... .......... .......... .......... 62% 13.9M 4s\n",
      " 80800K .......... .......... .......... .......... .......... 63% 8.30M 4s\n",
      " 80850K .......... .......... .......... .......... .......... 63% 12.4M 4s\n",
      " 80900K .......... .......... .......... .......... .......... 63% 11.8M 4s\n",
      " 80950K .......... .......... .......... .......... .......... 63% 12.2M 4s\n",
      " 81000K .......... .......... .......... .......... .......... 63% 9.78M 4s\n",
      " 81050K .......... .......... .......... .......... .......... 63% 11.7M 4s\n",
      " 81100K .......... .......... .......... .......... .......... 63% 11.3M 4s\n",
      " 81150K .......... .......... .......... .......... .......... 63% 11.2M 4s\n",
      " 81200K .......... .......... .......... .......... .......... 63% 8.42M 4s\n",
      " 81250K .......... .......... .......... .......... .......... 63% 20.3M 4s\n",
      " 81300K .......... .......... .......... .......... .......... 63% 8.34M 4s\n",
      " 81350K .......... .......... .......... .......... .......... 63% 13.5M 4s\n",
      " 81400K .......... .......... .......... .......... .......... 63% 12.3M 4s\n",
      " 81450K .......... .......... .......... .......... .......... 63% 12.3M 4s\n",
      " 81500K .......... .......... .......... .......... .......... 63% 12.0M 4s\n",
      " 81550K .......... .......... .......... .......... .......... 63% 6.87M 4s\n",
      " 81600K .......... .......... .......... .......... .......... 63% 23.1M 4s\n",
      " 81650K .......... .......... .......... .......... .......... 63% 8.66M 4s\n",
      " 81700K .......... .......... .......... .......... .......... 63% 16.6M 4s\n",
      " 81750K .......... .......... .......... .......... .......... 63% 13.1M 4s\n",
      " 81800K .......... .......... .......... .......... .......... 63% 7.32M 4s\n",
      " 81850K .......... .......... .......... .......... .......... 63% 12.9M 4s\n",
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      " 81950K .......... .......... .......... .......... .......... 63% 12.7M 4s\n",
      " 82000K .......... .......... .......... .......... .......... 63% 9.38M 4s\n",
      " 82050K .......... .......... .......... .......... .......... 64% 13.5M 4s\n",
      " 82100K .......... .......... .......... .......... .......... 64% 10.6M 4s\n",
      " 82150K .......... .......... .......... .......... .......... 64% 11.5M 4s\n",
      " 82200K .......... .......... .......... .......... .......... 64% 9.72M 4s\n",
      " 82250K .......... .......... .......... .......... .......... 64% 10.1M 4s\n",
      " 82300K .......... .......... .......... .......... .......... 64% 13.8M 4s\n",
      " 82350K .......... .......... .......... .......... .......... 64% 13.4M 4s\n",
      " 82400K .......... .......... .......... .......... .......... 64% 6.20M 4s\n",
      " 82450K .......... .......... .......... .......... .......... 64% 27.2M 4s\n",
      " 82500K .......... .......... .......... .......... .......... 64% 10.5M 4s\n",
      " 82550K .......... .......... .......... .......... .......... 64% 13.6M 4s\n",
      " 82600K .......... .......... .......... .......... .......... 64% 9.63M 4s\n",
      " 82650K .......... .......... .......... .......... .......... 64% 7.66M 4s\n",
      " 82700K .......... .......... .......... .......... .......... 64% 26.7M 4s\n",
      " 82750K .......... .......... .......... .......... .......... 64% 10.1M 4s\n",
      " 82800K .......... .......... .......... .......... .......... 64% 14.1M 4s\n",
      " 82850K .......... .......... .......... .......... .......... 64%  605K 4s\n",
      " 82900K .......... .......... .......... .......... .......... 64% 13.8M 4s\n",
      " 82950K .......... .......... .......... .......... .......... 64%  389M 4s\n",
      " 83000K .......... .......... .......... .......... .......... 64%  681M 4s\n",
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      " 83100K .......... .......... .......... .......... .......... 64%  750M 4s\n",
      " 83150K .......... .......... .......... .......... .......... 64% 2.37M 4s\n",
      " 83200K .......... .......... .......... .......... .......... 64%  132M 4s\n",
      " 83250K .......... .......... .......... .......... .......... 64%  726M 4s\n",
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      " 83400K .......... .......... .......... .......... .......... 65% 4.34M 4s\n",
      " 83450K .......... .......... .......... .......... .......... 65% 33.4M 4s\n",
      " 83500K .......... .......... .......... .......... .......... 65%  465M 4s\n",
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      " 84000K .......... .......... .......... .......... .......... 65%  568M 4s\n",
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      " 84100K .......... .......... .......... .......... .......... 65%  594M 4s\n",
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      " 84200K .......... .......... .......... .......... .......... 65% 19.1M 4s\n",
      " 84250K .......... .......... .......... .......... .......... 65% 10.1M 4s\n",
      " 84300K .......... .......... .......... .......... .......... 65% 20.5M 4s\n",
      " 84350K .......... .......... .......... .......... .......... 65% 11.0M 4s\n",
      " 84400K .......... .......... .......... .......... .......... 65% 5.85M 4s\n",
      " 84450K .......... .......... .......... .......... .......... 65% 79.2M 4s\n",
      " 84500K .......... .......... .......... .......... .......... 65% 12.1M 4s\n",
      " 84550K .......... .......... .......... .......... .......... 65% 8.82M 4s\n",
      " 84600K .......... .......... .......... .......... .......... 65% 14.5M 4s\n",
      " 84650K .......... .......... .......... .......... .......... 66% 13.2M 4s\n",
      " 84700K .......... .......... .......... .......... .......... 66% 9.64M 4s\n",
      " 84750K .......... .......... .......... .......... .......... 66% 11.3M 4s\n",
      " 84800K .......... .......... .......... .......... .......... 66% 10.5M 4s\n",
      " 84850K .......... .......... .......... .......... .......... 66% 14.8M 4s\n",
      " 84900K .......... .......... .......... .......... .......... 66% 8.07M 4s\n",
      " 84950K .......... .......... .......... .......... .......... 66% 18.6M 4s\n",
      " 85000K .......... .......... .......... .......... .......... 66% 9.94M 4s\n",
      " 85050K .......... .......... .......... .......... .......... 66% 11.9M 4s\n",
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      " 85150K .......... .......... .......... .......... .......... 66% 9.21M 4s\n",
      " 85200K .......... .......... .......... .......... .......... 66% 11.1M 4s\n",
      " 85250K .......... .......... .......... .......... .......... 66% 14.0M 4s\n",
      " 85300K .......... .......... .......... .......... .......... 66% 11.0M 4s\n",
      " 85350K .......... .......... .......... .......... .......... 66% 10.9M 4s\n",
      " 85400K .......... .......... .......... .......... .......... 66% 7.72M 4s\n",
      " 85450K .......... .......... .......... .......... .......... 66% 15.3M 4s\n",
      " 85500K .......... .......... .......... .......... .......... 66% 13.4M 4s\n",
      " 85550K .......... .......... .......... .......... .......... 66% 10.6M 4s\n",
      " 85600K .......... .......... .......... .......... .......... 66% 9.45M 4s\n",
      " 85650K .......... .......... .......... .......... .......... 66% 12.0M 4s\n",
      " 85700K .......... .......... .......... .......... .......... 66% 8.82M 4s\n",
      " 85750K .......... .......... .......... .......... .......... 66% 22.6M 4s\n",
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      " 85900K .......... .......... .......... .......... .......... 67% 27.4M 4s\n",
      " 85950K .......... .......... .......... .......... .......... 67% 11.3M 4s\n",
      " 86000K .......... .......... .......... .......... .......... 67% 12.0M 4s\n",
      " 86050K .......... .......... .......... .......... .......... 67% 9.46M 4s\n",
      " 86100K .......... .......... .......... .......... .......... 67% 11.9M 4s\n",
      " 86150K .......... .......... .......... .......... .......... 67% 11.2M 4s\n",
      " 86200K .......... .......... .......... .......... .......... 67% 11.0M 4s\n",
      " 86250K .......... .......... .......... .......... .......... 67% 9.51M 4s\n",
      " 86300K .......... .......... .......... .......... .......... 67% 12.4M 4s\n",
      " 86350K .......... .......... .......... .......... .......... 67% 11.9M 4s\n",
      " 86400K .......... .......... .......... .......... .......... 67% 11.0M 4s\n",
      " 86450K .......... .......... .......... .......... .......... 67% 11.9M 4s\n",
      " 86500K .......... .......... .......... .......... .......... 67% 11.8M 4s\n",
      " 86550K .......... .......... .......... .......... .......... 67% 10.2M 4s\n",
      " 86600K .......... .......... .......... .......... .......... 67% 9.35M 4s\n",
      " 86650K .......... .......... .......... .......... .......... 67% 10.9M 4s\n",
      " 86700K .......... .......... .......... .......... .......... 67% 14.7M 4s\n",
      " 86750K .......... .......... .......... .......... .......... 67% 13.2M 4s\n",
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      " 86850K .......... .......... .......... .......... .......... 67% 12.9M 4s\n",
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      " 87000K .......... .......... .......... .......... .......... 67% 8.58M 4s\n",
      " 87050K .......... .......... .......... .......... .......... 67% 10.8M 4s\n",
      " 87100K .......... .......... .......... .......... .......... 67%  611K 4s\n",
      " 87150K .......... .......... .......... .......... .......... 67% 23.5M 4s\n",
      " 87200K .......... .......... .......... .......... .......... 68%  264M 4s\n",
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      " 87350K .......... .......... .......... .......... .......... 68% 15.0M 4s\n",
      " 87400K .......... .......... .......... .......... .......... 68% 30.1M 4s\n",
      " 87450K .......... .......... .......... .......... .......... 68%  469M 4s\n",
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      " 88400K .......... .......... .......... .......... .......... 68% 16.1M 4s\n",
      " 88450K .......... .......... .......... .......... .......... 68% 12.0M 4s\n",
      " 88500K .......... .......... .......... .......... .......... 69% 11.6M 4s\n",
      " 88550K .......... .......... .......... .......... .......... 69% 12.3M 4s\n",
      " 88600K .......... .......... .......... .......... .......... 69% 8.58M 4s\n",
      " 88650K .......... .......... .......... .......... .......... 69% 6.07M 4s\n",
      " 88700K .......... .......... .......... .......... .......... 69% 19.5M 4s\n",
      " 88750K .......... .......... .......... .......... .......... 69% 11.2M 4s\n",
      " 88800K .......... .......... .......... .......... .......... 69% 16.7M 4s\n",
      " 88850K .......... .......... .......... .......... .......... 69% 9.79M 4s\n",
      " 88900K .......... .......... .......... .......... .......... 69% 13.5M 4s\n",
      " 88950K .......... .......... .......... .......... .......... 69% 14.0M 4s\n",
      " 89000K .......... .......... .......... .......... .......... 69% 6.70M 4s\n",
      " 89050K .......... .......... .......... .......... .......... 69% 19.1M 4s\n",
      " 89100K .......... .......... .......... .......... .......... 69% 10.6M 4s\n",
      " 89150K .......... .......... .......... .......... .......... 69% 13.6M 4s\n",
      " 89200K .......... .......... .......... .......... .......... 69% 8.34M 4s\n",
      " 89250K .......... .......... .......... .......... .......... 69% 15.0M 4s\n",
      " 89300K .......... .......... .......... .......... .......... 69% 12.1M 4s\n",
      " 89350K .......... .......... .......... .......... .......... 69% 12.0M 4s\n",
      " 89400K .......... .......... .......... .......... .......... 69% 10.9M 4s\n",
      " 89450K .......... .......... .......... .......... .......... 69% 8.63M 4s\n",
      " 89500K .......... .......... .......... .......... .......... 69% 15.0M 4s\n",
      " 89550K .......... .......... .......... .......... .......... 69% 12.1M 4s\n",
      " 89600K .......... .......... .......... .......... .......... 69% 8.55M 4s\n",
      " 89650K .......... .......... .......... .......... .......... 69% 16.0M 4s\n",
      " 89700K .......... .......... .......... .......... .......... 69% 11.8M 4s\n",
      " 89750K .......... .......... .......... .......... .......... 70% 8.27M 4s\n",
      " 89800K .......... .......... .......... .......... .......... 70% 15.5M 4s\n",
      " 89850K .......... .......... .......... .......... .......... 70% 11.9M 4s\n",
      " 89900K .......... .......... .......... .......... .......... 70% 11.6M 3s\n",
      " 89950K .......... .......... .......... .......... .......... 70% 11.8M 3s\n",
      " 90000K .......... .......... .......... .......... .......... 70% 7.39M 3s\n",
      " 90050K .......... .......... .......... .......... .......... 70% 20.6M 3s\n",
      " 90100K .......... .......... .......... .......... .......... 70% 10.3M 3s\n",
      " 90150K .......... .......... .......... .......... .......... 70% 12.5M 3s\n",
      " 90200K .......... .......... .......... .......... .......... 70% 8.95M 3s\n",
      " 90250K .......... .......... .......... .......... .......... 70% 12.0M 3s\n",
      " 90300K .......... .......... .......... .......... .......... 70% 11.4M 3s\n",
      " 90350K .......... .......... .......... .......... .......... 70% 12.5M 3s\n",
      " 90400K .......... .......... .......... .......... .......... 70% 9.41M 3s\n",
      " 90450K .......... .......... .......... .......... .......... 70% 12.1M 3s\n",
      " 90500K .......... .......... .......... .......... .......... 70% 12.7M 3s\n",
      " 90550K .......... .......... .......... .......... .......... 70% 12.3M 3s\n",
      " 90600K .......... .......... .......... .......... .......... 70% 7.51M 3s\n",
      " 90650K .......... .......... .......... .......... .......... 70% 14.1M 3s\n",
      " 90700K .......... .......... .......... .......... .......... 70% 11.7M 3s\n",
      " 90750K .......... .......... .......... .......... .......... 70% 9.04M 3s\n",
      " 90800K .......... .......... .......... .......... .......... 70% 13.2M 3s\n",
      " 90850K .......... .......... .......... .......... .......... 70% 12.0M 3s\n",
      " 90900K .......... .......... .......... .......... .......... 70% 11.3M 3s\n",
      " 90950K .......... .......... .......... .......... .......... 70% 11.3M 3s\n",
      " 91000K .......... .......... .......... .......... .......... 70% 12.0M 3s\n",
      " 91050K .......... .......... .......... .......... .......... 71% 10.2M 3s\n",
      " 91100K .......... .......... .......... .......... .......... 71% 11.8M 3s\n",
      " 91150K .......... .......... .......... .......... .......... 71% 10.5M 3s\n",
      " 91200K .......... .......... .......... .......... .......... 71% 11.8M 3s\n",
      " 91250K .......... .......... .......... .......... .......... 71% 12.1M 3s\n",
      " 91300K .......... .......... .......... .......... .......... 71% 9.65M 3s\n",
      " 91350K .......... .......... .......... .......... .......... 71% 10.8M 3s\n",
      " 91400K .......... .......... .......... .......... .......... 71% 11.9M 3s\n",
      " 91450K .......... .......... .......... .......... .......... 71% 10.8M 3s\n",
      " 91500K .......... .......... .......... .......... .......... 71% 14.5M 3s\n",
      " 91550K .......... .......... .......... .......... .......... 71% 12.1M 3s\n",
      " 91600K .......... .......... .......... .......... .......... 71% 7.48M 3s\n",
      " 91650K .......... .......... .......... .......... .......... 71% 17.0M 3s\n",
      " 91700K .......... .......... .......... .......... .......... 71% 10.7M 3s\n",
      " 91750K .......... .......... .......... .......... .......... 71% 12.3M 3s\n",
      " 91800K .......... .......... .......... .......... .......... 71% 8.30M 3s\n",
      " 91850K .......... .......... .......... .......... .......... 71%  571K 3s\n",
      " 91900K .......... .......... .......... .......... .......... 71% 13.5M 3s\n",
      " 91950K .......... .......... .......... .......... .......... 71%  708M 3s\n",
      " 92000K .......... .......... .......... .......... .......... 71%  493M 3s\n",
      " 92050K .......... .......... .......... .......... .......... 71%  747M 3s\n",
      " 92100K .......... .......... .......... .......... .......... 71% 5.84M 3s\n",
      " 92150K .......... .......... .......... .......... .......... 71% 18.2M 3s\n",
      " 92200K .......... .......... .......... .......... .......... 71%  290M 3s\n",
      " 92250K .......... .......... .......... .......... .......... 71%  333M 3s\n",
      " 92300K .......... .......... .......... .......... .......... 72% 7.63M 3s\n",
      " 92350K .......... .......... .......... .......... .......... 72% 17.1M 3s\n",
      " 92400K .......... .......... .......... .......... .......... 72%  413M 3s\n",
      " 92450K .......... .......... .......... .......... .......... 72%  689M 3s\n",
      " 92500K .......... .......... .......... .......... .......... 72%  716M 3s\n",
      " 92550K .......... .......... .......... .......... .......... 72%  600M 3s\n",
      " 92600K .......... .......... .......... .......... .......... 72%  659M 3s\n",
      " 92650K .......... .......... .......... .......... .......... 72%  555M 3s\n",
      " 92700K .......... .......... .......... .......... .......... 72%  716M 3s\n",
      " 92750K .......... .......... .......... .......... .......... 72%  693M 3s\n",
      " 92800K .......... .......... .......... .......... .......... 72%  445M 3s\n",
      " 92850K .......... .......... .......... .......... .......... 72%  561M 3s\n",
      " 92900K .......... .......... .......... .......... .......... 72%  556M 3s\n",
      " 92950K .......... .......... .......... .......... .......... 72%  723M 3s\n",
      " 93000K .......... .......... .......... .......... .......... 72%  671M 3s\n",
      " 93050K .......... .......... .......... .......... .......... 72%  233M 3s\n",
      " 93100K .......... .......... .......... .......... .......... 72%  684M 3s\n",
      " 93150K .......... .......... .......... .......... .......... 72% 1.04M 3s\n",
      " 93200K .......... .......... .......... .......... .......... 72% 1.94M 3s\n",
      " 93250K .......... .......... .......... .......... .......... 72% 7.27M 3s\n",
      " 93300K .......... .......... .......... .......... .......... 72% 11.7M 3s\n",
      " 93350K .......... .......... .......... .......... .......... 72% 7.99M 3s\n",
      " 93400K .......... .......... .......... .......... .......... 72% 11.2M 3s\n",
      " 93450K .......... .......... .......... .......... .......... 72% 1.80M 3s\n",
      " 93500K .......... .......... .......... .......... .......... 72% 12.3M 3s\n",
      " 93550K .......... .......... .......... .......... .......... 72% 12.2M 3s\n",
      " 93600K .......... .......... .......... .......... .......... 73% 8.75M 3s\n",
      " 93650K .......... .......... .......... .......... .......... 73% 11.8M 3s\n",
      " 93700K .......... .......... .......... .......... .......... 73% 8.29M 3s\n",
      " 93750K .......... .......... .......... .......... .......... 73% 24.5M 3s\n",
      " 93800K .......... .......... .......... .......... .......... 73% 8.71M 3s\n",
      " 93850K .......... .......... .......... .......... .......... 73% 11.6M 3s\n",
      " 93900K .......... .......... .......... .......... .......... 73% 11.1M 3s\n",
      " 93950K .......... .......... .......... .......... .......... 73% 14.0M 3s\n",
      " 94000K .......... .......... .......... .......... .......... 73% 8.71M 3s\n",
      " 94050K .......... .......... .......... .......... .......... 73% 11.9M 3s\n",
      " 94100K .......... .......... .......... .......... .......... 73% 8.61M 3s\n",
      " 94150K .......... .......... .......... .......... .......... 73% 14.7M 3s\n",
      " 94200K .......... .......... .......... .......... .......... 73% 11.3M 3s\n",
      " 94250K .......... .......... .......... .......... .......... 73% 11.3M 3s\n",
      " 94300K .......... .......... .......... .......... .......... 73% 7.67M 3s\n",
      " 94350K .......... .......... .......... .......... .......... 73% 24.9M 3s\n",
      " 94400K .......... .......... .......... .......... .......... 73% 11.9M 3s\n",
      " 94450K .......... .......... .......... .......... .......... 73% 11.9M 3s\n",
      " 94500K .......... .......... .......... .......... .......... 73% 8.89M 3s\n",
      " 94550K .......... .......... .......... .......... .......... 73% 11.8M 3s\n",
      " 94600K .......... .......... .......... .......... .......... 73% 11.2M 3s\n",
      " 94650K .......... .......... .......... .......... .......... 73% 10.2M 3s\n",
      " 94700K .......... .......... .......... .......... .......... 73% 13.1M 3s\n",
      " 94750K .......... .......... .......... .......... .......... 73% 9.11M 3s\n",
      " 94800K .......... .......... .......... .......... .......... 73% 13.5M 3s\n",
      " 94850K .......... .......... .......... .......... .......... 73% 11.8M 3s\n",
      " 94900K .......... .......... .......... .......... .......... 74% 11.8M 3s\n",
      " 94950K .......... .......... .......... .......... .......... 74% 11.9M 3s\n",
      " 95000K .......... .......... .......... .......... .......... 74% 9.03M 3s\n",
      " 95050K .......... .......... .......... .......... .......... 74% 13.4M 3s\n",
      " 95100K .......... .......... .......... .......... .......... 74% 10.2M 3s\n",
      " 95150K .......... .......... .......... .......... .......... 74% 11.5M 3s\n",
      " 95200K .......... .......... .......... .......... .......... 74% 9.41M 3s\n",
      " 95250K .......... .......... .......... .......... .......... 74% 13.4M 3s\n",
      " 95300K .......... .......... .......... .......... .......... 74% 10.1M 3s\n",
      " 95350K .......... .......... .......... .......... .......... 74% 9.53M 3s\n",
      " 95400K .......... .......... .......... .......... .......... 74% 11.3M 3s\n",
      " 95450K .......... .......... .......... .......... .......... 74% 11.0M 3s\n",
      " 95500K .......... .......... .......... .......... .......... 74% 12.5M 3s\n",
      " 95550K .......... .......... .......... .......... .......... 74% 13.5M 3s\n",
      " 95600K .......... .......... .......... .......... .......... 74% 8.55M 3s\n",
      " 95650K .......... .......... .......... .......... .......... 74% 12.2M 3s\n",
      " 95700K .......... .......... .......... .......... .......... 74% 9.67M 3s\n",
      " 95750K .......... .......... .......... .......... .......... 74% 15.3M 3s\n",
      " 95800K .......... .......... .......... .......... .......... 74% 9.71M 3s\n",
      " 95850K .......... .......... .......... .......... .......... 74% 11.9M 3s\n",
      " 95900K .......... .......... .......... .......... .......... 74% 10.9M 3s\n",
      " 95950K .......... .......... .......... .......... .......... 74% 12.9M 3s\n",
      " 96000K .......... .......... .......... .......... .......... 74% 11.8M 3s\n",
      " 96050K .......... .......... .......... .......... .......... 74% 9.79M 3s\n",
      " 96100K .......... .......... .......... .......... .......... 74% 12.0M 3s\n",
      " 96150K .......... .......... .......... .......... .......... 75% 10.6M 3s\n",
      " 96200K .......... .......... .......... .......... .......... 75% 10.5M 3s\n",
      " 96250K .......... .......... .......... .......... .......... 75% 11.0M 3s\n",
      " 96300K .......... .......... .......... .......... .......... 75% 10.3M 3s\n",
      " 96350K .......... .......... .......... .......... .......... 75% 9.83M 3s\n",
      " 96400K .......... .......... .......... .......... .......... 75% 12.3M 3s\n",
      " 96450K .......... .......... .......... .......... .......... 75% 13.1M 3s\n",
      " 96500K .......... .......... .......... .......... .......... 75% 7.88M 3s\n",
      " 96550K .......... .......... .......... .......... .......... 75% 24.3M 3s\n",
      " 96600K .......... .......... .......... .......... .......... 75% 9.90M 3s\n",
      " 96650K .......... .......... .......... .......... .......... 75% 11.5M 3s\n",
      " 96700K .......... .......... .......... .......... .......... 75% 12.0M 3s\n",
      " 96750K .......... .......... .......... .......... .......... 75% 11.9M 3s\n",
      " 96800K .......... .......... .......... .......... .......... 75% 8.72M 3s\n",
      " 96850K .......... .......... .......... .......... .......... 75% 11.3M 3s\n",
      " 96900K .......... .......... .......... .......... .......... 75% 14.6M 3s\n",
      " 96950K .......... .......... .......... .......... .......... 75% 11.9M 3s\n",
      " 97000K .......... .......... .......... .......... .......... 75% 7.68M 3s\n",
      " 97050K .......... .......... .......... .......... .......... 75% 14.3M 3s\n",
      " 97100K .......... .......... .......... .......... .......... 75% 9.63M 3s\n",
      " 97150K .......... .......... .......... .......... .......... 75% 14.7M 3s\n",
      " 97200K .......... .......... .......... .......... .......... 75% 8.80M 3s\n",
      " 97250K .......... .......... .......... .......... .......... 75% 10.3M 3s\n",
      " 97300K .......... .......... .......... .......... .......... 75% 11.9M 3s\n",
      " 97350K .......... .......... .......... .......... .......... 75% 12.0M 3s\n",
      " 97400K .......... .......... .......... .......... .......... 75% 10.4M 3s\n",
      " 97450K .......... .......... .......... .......... .......... 76% 11.1M 3s\n",
      " 97500K .......... .......... .......... .......... .......... 76% 11.4M 3s\n",
      " 97550K .......... .......... .......... .......... .......... 76% 11.5M 3s\n",
      " 97600K .......... .......... .......... .......... .......... 76% 12.4M 3s\n",
      " 97650K .......... .......... .......... .......... .......... 76% 9.90M 3s\n",
      " 97700K .......... .......... .......... .......... .......... 76% 8.11M 3s\n",
      " 97750K .......... .......... .......... .......... .......... 76%  531K 3s\n",
      " 97800K .......... .......... .......... .......... .......... 76%  126M 3s\n",
      " 97850K .......... .......... .......... .......... .......... 76%  470M 3s\n",
      " 97900K .......... .......... .......... .......... .......... 76%  294M 3s\n",
      " 97950K .......... .......... .......... .......... .......... 76%  352M 3s\n",
      " 98000K .......... .......... .......... .......... .......... 76%  344M 3s\n",
      " 98050K .......... .......... .......... .......... .......... 76%  570M 3s\n",
      " 98100K .......... .......... .......... .......... .......... 76%  697M 3s\n",
      " 98150K .......... .......... .......... .......... .......... 76%  583M 3s\n",
      " 98200K .......... .......... .......... .......... .......... 76% 2.12M 3s\n",
      " 98250K .......... .......... .......... .......... .......... 76% 9.87M 3s\n",
      " 98300K .......... .......... .......... .......... .......... 76%  120M 3s\n",
      " 98350K .......... .......... .......... .......... .......... 76%  709M 3s\n",
      " 98400K .......... .......... .......... .......... .......... 76%  503M 3s\n",
      " 98450K .......... .......... .......... .......... .......... 76%  757M 3s\n",
      " 98500K .......... .......... .......... .......... .......... 76%  740M 3s\n",
      " 98550K .......... .......... .......... .......... .......... 76%  619M 3s\n",
      " 98600K .......... .......... .......... .......... .......... 76%  607M 3s\n",
      " 98650K .......... .......... .......... .......... .......... 76%  458M 3s\n",
      " 98700K .......... .......... .......... .......... .......... 76%  592M 3s\n",
      " 98750K .......... .......... .......... .......... .......... 77%  230M 3s\n",
      " 98800K .......... .......... .......... .......... .......... 77%  400M 3s\n",
      " 98850K .......... .......... .......... .......... .......... 77%  635M 3s\n",
      " 98900K .......... .......... .......... .......... .......... 77%  635M 3s\n",
      " 98950K .......... .......... .......... .......... .......... 77%  460M 3s\n",
      " 99000K .......... .......... .......... .......... .......... 77%  579M 3s\n",
      " 99050K .......... .......... .......... .......... .......... 77%  595M 3s\n",
      " 99100K .......... .......... .......... .......... .......... 77%  453M 3s\n",
      " 99150K .......... .......... .......... .......... .......... 77% 96.2M 3s\n",
      " 99200K .......... .......... .......... .......... .......... 77% 7.61M 3s\n",
      " 99250K .......... .......... .......... .......... .......... 77% 15.2M 3s\n",
      " 99300K .......... .......... .......... .......... .......... 77% 10.8M 3s\n",
      " 99350K .......... .......... .......... .......... .......... 77% 13.7M 3s\n",
      " 99400K .......... .......... .......... .......... .......... 77% 11.1M 3s\n",
      " 99450K .......... .......... .......... .......... .......... 77% 13.2M 3s\n",
      " 99500K .......... .......... .......... .......... .......... 77% 9.54M 3s\n",
      " 99550K .......... .......... .......... .......... .......... 77% 7.99M 3s\n",
      " 99600K .......... .......... .......... .......... .......... 77% 23.1M 3s\n",
      " 99650K .......... .......... .......... .......... .......... 77% 11.0M 3s\n",
      " 99700K .......... .......... .......... .......... .......... 77% 13.1M 3s\n",
      " 99750K .......... .......... .......... .......... .......... 77% 6.27M 3s\n",
      " 99800K .......... .......... .......... .......... .......... 77% 35.1M 3s\n",
      " 99850K .......... .......... .......... .......... .......... 77% 11.7M 3s\n",
      " 99900K .......... .......... .......... .......... .......... 77% 7.90M 3s\n",
      " 99950K .......... .......... .......... .......... .......... 77% 20.5M 3s\n",
      "100000K .......... .......... .......... .......... .......... 78% 10.4M 3s\n",
      "100050K .......... .......... .......... .......... .......... 78% 7.63M 3s\n",
      "100100K .......... .......... .......... .......... .......... 78%  556K 3s\n",
      "100150K .......... .......... .......... .......... .......... 78% 19.3M 3s\n",
      "100200K .......... .......... .......... .......... .......... 78%  404M 3s\n",
      "100250K .......... .......... .......... .......... .......... 78%  695M 3s\n",
      "100300K .......... .......... .......... .......... .......... 78%  765M 3s\n",
      "100350K .......... .......... .......... .......... .......... 78%  541M 3s\n",
      "100400K .......... .......... .......... .......... .......... 78%  605M 3s\n",
      "100450K .......... .......... .......... .......... .......... 78%  627M 3s\n",
      "100500K .......... .......... .......... .......... .......... 78%  731M 3s\n",
      "100550K .......... .......... .......... .......... .......... 78%  727M 3s\n",
      "100600K .......... .......... .......... .......... .......... 78%  498M 3s\n",
      "100650K .......... .......... .......... .......... .......... 78%  683M 3s\n",
      "100700K .......... .......... .......... .......... .......... 78%  379M 3s\n",
      "100750K .......... .......... .......... .......... .......... 78%  527M 3s\n",
      "100800K .......... .......... .......... .......... .......... 78%  494M 3s\n",
      "100850K .......... .......... .......... .......... .......... 78%  406M 3s\n",
      "100900K .......... .......... .......... .......... .......... 78%  573M 3s\n",
      "100950K .......... .......... .......... .......... .......... 78%  543M 3s\n",
      "101000K .......... .......... .......... .......... .......... 78%  470M 3s\n",
      "101050K .......... .......... .......... .......... .......... 78%  463M 2s\n",
      "101100K .......... .......... .......... .......... .......... 78%  214M 2s\n",
      "101150K .......... .......... .......... .......... .......... 78% 34.2M 2s\n",
      "101200K .......... .......... .......... .......... .......... 78% 14.8M 2s\n",
      "101250K .......... .......... .......... .......... .......... 78% 8.67M 2s\n",
      "101300K .......... .......... .......... .......... .......... 79% 16.7M 2s\n",
      "101350K .......... .......... .......... .......... .......... 79% 10.1M 2s\n",
      "101400K .......... .......... .......... .......... .......... 79% 11.8M 2s\n",
      "101450K .......... .......... .......... .......... .......... 79% 11.7M 2s\n",
      "101500K .......... .......... .......... .......... .......... 79% 11.5M 2s\n",
      "101550K .......... .......... .......... .......... .......... 79% 12.5M 2s\n",
      "101600K .......... .......... .......... .......... .......... 79% 9.76M 2s\n",
      "101650K .......... .......... .......... .......... .......... 79% 11.5M 2s\n",
      "101700K .......... .......... .......... .......... .......... 79% 10.8M 2s\n",
      "101750K .......... .......... .......... .......... .......... 79% 13.2M 2s\n",
      "101800K .......... .......... .......... .......... .......... 79% 6.73M 2s\n",
      "101850K .......... .......... .......... .......... .......... 79% 25.8M 2s\n",
      "101900K .......... .......... .......... .......... .......... 79% 12.1M 2s\n",
      "101950K .......... .......... .......... .......... .......... 79% 10.4M 2s\n",
      "102000K .......... .......... .......... .......... .......... 79% 8.89M 2s\n",
      "102050K .......... .......... .......... .......... .......... 79% 11.3M 2s\n",
      "102100K .......... .......... .......... .......... .......... 79% 10.2M 2s\n",
      "102150K .......... .......... .......... .......... .......... 79% 16.1M 2s\n",
      "102200K .......... .......... .......... .......... .......... 79% 6.27M 2s\n",
      "102250K .......... .......... .......... .......... .......... 79% 27.2M 2s\n",
      "102300K .......... .......... .......... .......... .......... 79% 12.0M 2s\n",
      "102350K .......... .......... .......... .......... .......... 79% 10.7M 2s\n",
      "102400K .......... .......... .......... .......... .......... 79% 10.4M 2s\n",
      "102450K .......... .......... .......... .......... .......... 79% 9.87M 2s\n",
      "102500K .......... .......... .......... .......... .......... 79% 14.1M 2s\n",
      "102550K .......... .......... .......... .......... .......... 79% 12.3M 2s\n",
      "102600K .......... .......... .......... .......... .......... 80% 10.7M 2s\n",
      "102650K .......... .......... .......... .......... .......... 80% 10.7M 2s\n",
      "102700K .......... .......... .......... .......... .......... 80% 11.6M 2s\n",
      "102750K .......... .......... .......... .......... .......... 80% 12.4M 2s\n",
      "102800K .......... .......... .......... .......... .......... 80% 11.9M 2s\n",
      "102850K .......... .......... .......... .......... .......... 80% 11.0M 2s\n",
      "102900K .......... .......... .......... .......... .......... 80%  520K 2s\n",
      "102950K .......... .......... .......... .......... .......... 80% 21.6M 2s\n",
      "103000K .......... .......... .......... .......... .......... 80%  439M 2s\n",
      "103050K .......... .......... .......... .......... .......... 80%  347M 2s\n",
      "103100K .......... .......... .......... .......... .......... 80%  471M 2s\n",
      "103150K .......... .......... .......... .......... .......... 80%  300M 2s\n",
      "103200K .......... .......... .......... .......... .......... 80%  312M 2s\n",
      "103250K .......... .......... .......... .......... .......... 80%  462M 2s\n",
      "103300K .......... .......... .......... .......... .......... 80%  363M 2s\n",
      "103350K .......... .......... .......... .......... .......... 80% 4.19M 2s\n",
      "103400K .......... .......... .......... .......... .......... 80% 8.87M 2s\n",
      "103450K .......... .......... .......... .......... .......... 80%  723M 2s\n",
      "103500K .......... .......... .......... .......... .......... 80%  733M 2s\n",
      "103550K .......... .......... .......... .......... .......... 80%  573M 2s\n",
      "103600K .......... .......... .......... .......... .......... 80%  598M 2s\n",
      "103650K .......... .......... .......... .......... .......... 80%  590M 2s\n",
      "103700K .......... .......... .......... .......... .......... 80%  756M 2s\n",
      "103750K .......... .......... .......... .......... .......... 80%  740M 2s\n",
      "103800K .......... .......... .......... .......... .......... 80%  508M 2s\n",
      "103850K .......... .......... .......... .......... .......... 81%  239M 2s\n",
      "103900K .......... .......... .......... .......... .......... 81% 1.62M 2s\n",
      "103950K .......... .......... .......... .......... .......... 81% 18.5M 2s\n",
      "104000K .......... .......... .......... .......... .......... 81%  604M 2s\n",
      "104050K .......... .......... .......... .......... .......... 81%  573M 2s\n",
      "104100K .......... .......... .......... .......... .......... 81%  748M 2s\n",
      "104150K .......... .......... .......... .......... .......... 81%  762M 2s\n",
      "104200K .......... .......... .......... .......... .......... 81%  565M 2s\n",
      "104250K .......... .......... .......... .......... .......... 81%  616M 2s\n",
      "104300K .......... .......... .......... .......... .......... 81%  597M 2s\n",
      "104350K .......... .......... .......... .......... .......... 81%  721M 2s\n",
      "104400K .......... .......... .......... .......... .......... 81%  628M 2s\n",
      "104450K .......... .......... .......... .......... .......... 81%  545M 2s\n",
      "104500K .......... .......... .......... .......... .......... 81%  646M 2s\n",
      "104550K .......... .......... .......... .......... .......... 81%  603M 2s\n",
      "104600K .......... .......... .......... .......... .......... 81% 17.7M 2s\n",
      "104650K .......... .......... .......... .......... .......... 81% 11.9M 2s\n",
      "104700K .......... .......... .......... .......... .......... 81% 12.1M 2s\n",
      "104750K .......... .......... .......... .......... .......... 81% 11.4M 2s\n",
      "104800K .......... .......... .......... .......... .......... 81% 8.89M 2s\n",
      "104850K .......... .......... .......... .......... .......... 81% 13.0M 2s\n",
      "104900K .......... .......... .......... .......... .......... 81% 12.6M 2s\n",
      "104950K .......... .......... .......... .......... .......... 81% 10.4M 2s\n",
      "105000K .......... .......... .......... .......... .......... 81% 9.52M 2s\n",
      "105050K .......... .......... .......... .......... .......... 81% 13.4M 2s\n",
      "105100K .......... .......... .......... .......... .......... 81% 12.5M 2s\n",
      "105150K .......... .......... .......... .......... .......... 82% 11.7M 2s\n",
      "105200K .......... .......... .......... .......... .......... 82% 8.55M 2s\n",
      "105250K .......... .......... .......... .......... .......... 82% 12.1M 2s\n",
      "105300K .......... .......... .......... .......... .......... 82% 10.0M 2s\n",
      "105350K .......... .......... .......... .......... .......... 82% 12.0M 2s\n",
      "105400K .......... .......... .......... .......... .......... 82% 9.82M 2s\n",
      "105450K .......... .......... .......... .......... .......... 82% 10.9M 2s\n",
      "105500K .......... .......... .......... .......... .......... 82% 12.1M 2s\n",
      "105550K .......... .......... .......... .......... .......... 82% 11.7M 2s\n",
      "105600K .......... .......... .......... .......... .......... 82% 8.63M 2s\n",
      "105650K .......... .......... .......... .......... .......... 82% 14.1M 2s\n",
      "105700K .......... .......... .......... .......... .......... 82% 11.7M 2s\n",
      "105750K .......... .......... .......... .......... .......... 82% 7.37M 2s\n",
      "105800K .......... .......... .......... .......... .......... 82% 30.7M 2s\n",
      "105850K .......... .......... .......... .......... .......... 82% 7.88M 2s\n",
      "105900K .......... .......... .......... .......... .......... 82% 17.3M 2s\n",
      "105950K .......... .......... .......... .......... .......... 82% 11.4M 2s\n",
      "106000K .......... .......... .......... .......... .......... 82% 12.0M 2s\n",
      "106050K .......... .......... .......... .......... .......... 82% 9.07M 2s\n",
      "106100K .......... .......... .......... .......... .......... 82% 11.4M 2s\n",
      "106150K .......... .......... .......... .......... .......... 82% 12.1M 2s\n",
      "106200K .......... .......... .......... .......... .......... 82% 10.5M 2s\n",
      "106250K .......... .......... .......... .......... .......... 82% 11.8M 2s\n",
      "106300K .......... .......... .......... .......... .......... 82% 8.41M 2s\n",
      "106350K .......... .......... .......... .......... .......... 82% 16.3M 2s\n",
      "106400K .......... .......... .......... .......... .......... 82% 10.8M 2s\n",
      "106450K .......... .......... .......... .......... .......... 83% 11.9M 2s\n",
      "106500K .......... .......... .......... .......... .......... 83% 11.9M 2s\n",
      "106550K .......... .......... .......... .......... .......... 83% 11.7M 2s\n",
      "106600K .......... .......... .......... .......... .......... 83% 9.68M 2s\n",
      "106650K .......... .......... .......... .......... .......... 83% 10.2M 2s\n",
      "106700K .......... .......... .......... .......... .......... 83% 14.0M 2s\n",
      "106750K .......... .......... .......... .......... .......... 83% 12.2M 2s\n",
      "106800K .......... .......... .......... .......... .......... 83% 8.80M 2s\n",
      "106850K .......... .......... .......... .......... .......... 83% 11.2M 2s\n",
      "106900K .......... .......... .......... .......... .......... 83% 11.0M 2s\n",
      "106950K .......... .......... .......... .......... .......... 83% 12.4M 2s\n",
      "107000K .......... .......... .......... .......... .......... 83% 8.60M 2s\n",
      "107050K .......... .......... .......... .......... .......... 83% 12.2M 2s\n",
      "107100K .......... .......... .......... .......... .......... 83% 10.7M 2s\n",
      "107150K .......... .......... .......... .......... .......... 83% 14.9M 2s\n",
      "107200K .......... .......... .......... .......... .......... 83% 5.32M 2s\n",
      "107250K .......... .......... .......... .......... .......... 83% 30.2M 2s\n",
      "107300K .......... .......... .......... .......... .......... 83% 12.3M 2s\n",
      "107350K .......... .......... .......... .......... .......... 83% 11.0M 2s\n",
      "107400K .......... .......... .......... .......... .......... 83% 12.4M 2s\n",
      "107450K .......... .......... .......... .......... .......... 83% 10.7M 2s\n",
      "107500K .......... .......... .......... .......... .......... 83% 12.6M 2s\n",
      "107550K .......... .......... .......... .......... .......... 83% 8.07M 2s\n",
      "107600K .......... .......... .......... .......... .......... 83% 23.4M 2s\n",
      "107650K .......... .......... .......... .......... .......... 83% 11.8M 2s\n",
      "107700K .......... .......... .......... .......... .......... 84% 9.70M 2s\n",
      "107750K .......... .......... .......... .......... .......... 84% 11.9M 2s\n",
      "107800K .......... .......... .......... .......... .......... 84% 10.3M 2s\n",
      "107850K .......... .......... .......... .......... .......... 84% 11.1M 2s\n",
      "107900K .......... .......... .......... .......... .......... 84% 10.7M 2s\n",
      "107950K .......... .......... .......... .......... .......... 84% 10.3M 2s\n",
      "108000K .......... .......... .......... .......... .......... 84% 12.0M 2s\n",
      "108050K .......... .......... .......... .......... .......... 84% 12.0M 2s\n",
      "108100K .......... .......... .......... .......... .......... 84% 10.9M 2s\n",
      "108150K .......... .......... .......... .......... .......... 84% 9.88M 2s\n",
      "108200K .......... .......... .......... .......... .......... 84% 12.4M 2s\n",
      "108250K .......... .......... .......... .......... .......... 84% 11.2M 2s\n",
      "108300K .......... .......... .......... .......... .......... 84% 10.7M 2s\n",
      "108350K .......... .......... .......... .......... .......... 84% 13.1M 2s\n",
      "108400K .......... .......... .......... .......... .......... 84% 7.19M 2s\n",
      "108450K .......... .......... .......... .......... .......... 84% 20.9M 2s\n",
      "108500K .......... .......... .......... .......... .......... 84% 9.81M 2s\n",
      "108550K .......... .......... .......... .......... .......... 84% 15.4M 2s\n",
      "108600K .......... .......... .......... .......... .......... 84% 7.66M 2s\n",
      "108650K .......... .......... .......... .......... .......... 84% 10.0M 2s\n",
      "108700K .......... .......... .......... .......... .......... 84% 12.1M 2s\n",
      "108750K .......... .......... .......... .......... .......... 84% 12.7M 2s\n",
      "108800K .......... .......... .......... .......... .......... 84% 9.08M 2s\n",
      "108850K .......... .......... .......... .......... .......... 84% 12.0M 2s\n",
      "108900K .......... .......... .......... .......... .......... 84% 11.6M 2s\n",
      "108950K .......... .......... .......... .......... .......... 84% 11.5M 2s\n",
      "109000K .......... .......... .......... .......... .......... 85% 7.73M 2s\n",
      "109050K .......... .......... .......... .......... .......... 85% 18.2M 2s\n",
      "109100K .......... .......... .......... .......... .......... 85% 11.3M 2s\n",
      "109150K .......... .......... .......... .......... .......... 85% 9.64M 2s\n",
      "109200K .......... .......... .......... .......... .......... 85% 15.4M 2s\n",
      "109250K .......... .......... .......... .......... .......... 85% 10.4M 2s\n",
      "109300K .......... .......... .......... .......... .......... 85% 10.9M 2s\n",
      "109350K .......... .......... .......... .......... .......... 85% 8.65M 2s\n",
      "109400K .......... .......... .......... .......... .......... 85% 18.4M 2s\n",
      "109450K .......... .......... .......... .......... .......... 85% 9.10M 2s\n",
      "109500K .......... .......... .......... .......... .......... 85% 11.5M 2s\n",
      "109550K .......... .......... .......... .......... .......... 85% 10.8M 2s\n",
      "109600K .......... .......... .......... .......... .......... 85% 11.7M 2s\n",
      "109650K .......... .......... .......... .......... .......... 85% 11.8M 2s\n",
      "109700K .......... .......... .......... .......... .......... 85% 11.5M 2s\n",
      "109750K .......... .......... .......... .......... .......... 85% 11.3M 2s\n",
      "109800K .......... .......... .......... .......... .......... 85% 7.96M 2s\n",
      "109850K .......... .......... .......... .......... .......... 85% 16.9M 2s\n",
      "109900K .......... .......... .......... .......... .......... 85% 7.93M 2s\n",
      "109950K .......... .......... .......... .......... .......... 85% 22.3M 2s\n",
      "110000K .......... .......... .......... .......... .......... 85% 8.76M 2s\n",
      "110050K .......... .......... .......... .......... .......... 85% 15.2M 2s\n",
      "110100K .......... .......... .......... .......... .......... 85% 10.9M 2s\n",
      "110150K .......... .......... .......... .......... .......... 85% 11.4M 2s\n",
      "110200K .......... .......... .......... .......... .......... 85% 5.98M 2s\n",
      "110250K .......... .......... .......... .......... .......... 85% 33.2M 2s\n",
      "110300K .......... .......... .......... .......... .......... 86% 14.2M 2s\n",
      "110350K .......... .......... .......... .......... .......... 86% 7.67M 2s\n",
      "110400K .......... .......... .......... .......... .......... 86% 14.6M 2s\n",
      "110450K .......... .......... .......... .......... .......... 86%  500K 2s\n",
      "110500K .......... .......... .......... .......... .......... 86% 11.6M 2s\n",
      "110550K .......... .......... .......... .......... .......... 86%  568M 2s\n",
      "110600K .......... .......... .......... .......... .......... 86%  394M 2s\n",
      "110650K .......... .......... .......... .......... .......... 86%  686M 2s\n",
      "110700K .......... .......... .......... .......... .......... 86%  582M 2s\n",
      "110750K .......... .......... .......... .......... .......... 86%  743M 2s\n",
      "110800K .......... .......... .......... .......... .......... 86%  276K 2s\n",
      "110850K .......... .......... .......... .......... .......... 86%  364K 2s\n",
      "110900K .......... .......... .......... .......... .......... 86%  718M 2s\n",
      "110950K .......... .......... .......... .......... .......... 86%  352M 2s\n",
      "111000K .......... .......... .......... .......... .......... 86%  686M 2s\n",
      "111050K .......... .......... .......... .......... .......... 86%  498M 2s\n",
      "111100K .......... .......... .......... .......... .......... 86%  555M 2s\n",
      "111150K .......... .......... .......... .......... .......... 86%  747M 2s\n",
      "111200K .......... .......... .......... .......... .......... 86%  382M 2s\n",
      "111250K .......... .......... .......... .......... .......... 86%  718M 2s\n",
      "111300K .......... .......... .......... .......... .......... 86%  712M 2s\n",
      "111350K .......... .......... .......... .......... .......... 86%  606M 2s\n",
      "111400K .......... .......... .......... .......... .......... 86%  580M 2s\n",
      "111450K .......... .......... .......... .......... .......... 86%  364M 2s\n",
      "111500K .......... .......... .......... .......... .......... 86%  274M 2s\n",
      "111550K .......... .......... .......... .......... .......... 87%  200M 2s\n",
      "111600K .......... .......... .......... .......... .......... 87%  276M 2s\n",
      "111650K .......... .......... .......... .......... .......... 87%  578M 2s\n",
      "111700K .......... .......... .......... .......... .......... 87%  337M 2s\n",
      "111750K .......... .......... .......... .......... .......... 87%  106M 2s\n",
      "111800K .......... .......... .......... .......... .......... 87% 7.87M 2s\n",
      "111850K .......... .......... .......... .......... .......... 87% 7.94M 2s\n",
      "111900K .......... .......... .......... .......... .......... 87% 27.4M 2s\n",
      "111950K .......... .......... .......... .......... .......... 87% 11.0M 2s\n",
      "112000K .......... .......... .......... .......... .......... 87% 6.42M 2s\n",
      "112050K .......... .......... .......... .......... .......... 87% 19.6M 2s\n",
      "112100K .......... .......... .......... .......... .......... 87% 6.28M 2s\n",
      "112150K .......... .......... .......... .......... .......... 87%  149M 2s\n",
      "112200K .......... .......... .......... .......... .......... 87% 8.85M 2s\n",
      "112250K .......... .......... .......... .......... .......... 87% 10.8M 2s\n",
      "112300K .......... .......... .......... .......... .......... 87% 11.3M 1s\n",
      "112350K .......... .......... .......... .......... .......... 87% 11.6M 1s\n",
      "112400K .......... .......... .......... .......... .......... 87% 12.1M 1s\n",
      "112450K .......... .......... .......... .......... .......... 87% 10.5M 1s\n",
      "112500K .......... .......... .......... .......... .......... 87% 11.2M 1s\n",
      "112550K .......... .......... .......... .......... .......... 87% 11.3M 1s\n",
      "112600K .......... .......... .......... .......... .......... 87% 11.9M 1s\n",
      "112650K .......... .......... .......... .......... .......... 87% 11.4M 1s\n",
      "112700K .......... .......... .......... .......... .......... 87% 10.7M 1s\n",
      "112750K .......... .......... .......... .......... .......... 87% 10.2M 1s\n",
      "112800K .......... .......... .......... .......... .......... 87% 11.5M 1s\n",
      "112850K .......... .......... .......... .......... .......... 88% 9.17M 1s\n",
      "112900K .......... .......... .......... .......... .......... 88% 14.6M 1s\n",
      "112950K .......... .......... .......... .......... .......... 88% 10.6M 1s\n",
      "113000K .......... .......... .......... .......... .......... 88% 10.8M 1s\n",
      "113050K .......... .......... .......... .......... .......... 88% 12.0M 1s\n",
      "113100K .......... .......... .......... .......... .......... 88% 7.95M 1s\n",
      "113150K .......... .......... .......... .......... .......... 88% 19.6M 1s\n",
      "113200K .......... .......... .......... .......... .......... 88% 7.84M 1s\n",
      "113250K .......... .......... .......... .......... .......... 88% 15.5M 1s\n",
      "113300K .......... .......... .......... .......... .......... 88% 9.51M 1s\n",
      "113350K .......... .......... .......... .......... .......... 88% 15.9M 1s\n",
      "113400K .......... .......... .......... .......... .......... 88% 8.01M 1s\n",
      "113450K .......... .......... .......... .......... .......... 88% 7.91M 1s\n",
      "113500K .......... .......... .......... .......... .......... 88% 46.4M 1s\n",
      "113550K .......... .......... .......... .......... .......... 88% 11.9M 1s\n",
      "113600K .......... .......... .......... .......... .......... 88% 8.42M 1s\n",
      "113650K .......... .......... .......... .......... .......... 88% 9.29M 1s\n",
      "113700K .......... .......... .......... .......... .......... 88% 13.6M 1s\n",
      "113750K .......... .......... .......... .......... .......... 88% 12.4M 1s\n",
      "113800K .......... .......... .......... .......... .......... 88% 10.1M 1s\n",
      "113850K .......... .......... .......... .......... .......... 88% 11.9M 1s\n",
      "113900K .......... .......... .......... .......... .......... 88% 10.8M 1s\n",
      "113950K .......... .......... .......... .......... .......... 88% 10.1M 1s\n",
      "114000K .......... .......... .......... .......... .......... 88% 12.4M 1s\n",
      "114050K .......... .......... .......... .......... .......... 88% 8.17M 1s\n",
      "114100K .......... .......... .......... .......... .......... 88% 12.4M 1s\n",
      "114150K .......... .......... .......... .......... .......... 89% 15.0M 1s\n",
      "114200K .......... .......... .......... .......... .......... 89% 11.7M 1s\n",
      "114250K .......... .......... .......... .......... .......... 89% 12.8M 1s\n",
      "114300K .......... .......... .......... .......... .......... 89% 9.67M 1s\n",
      "114350K .......... .......... .......... .......... .......... 89% 12.7M 1s\n",
      "114400K .......... .......... .......... .......... .......... 89% 10.2M 1s\n",
      "114450K .......... .......... .......... .......... .......... 89% 13.8M 1s\n",
      "114500K .......... .......... .......... .......... .......... 89% 11.2M 1s\n",
      "114550K .......... .......... .......... .......... .......... 89% 7.39M 1s\n",
      "114600K .......... .......... .......... .......... .......... 89% 21.5M 1s\n",
      "114650K .......... .......... .......... .......... .......... 89% 11.7M 1s\n",
      "114700K .......... .......... .......... .......... .......... 89% 11.5M 1s\n",
      "114750K .......... .......... .......... .......... .......... 89% 11.7M 1s\n",
      "114800K .......... .......... .......... .......... .......... 89% 10.4M 1s\n",
      "114850K .......... .......... .......... .......... .......... 89% 8.78M 1s\n",
      "114900K .......... .......... .......... .......... .......... 89% 16.2M 1s\n",
      "114950K .......... .......... .......... .......... .......... 89% 11.9M 1s\n",
      "115000K .......... .......... .......... .......... .......... 89% 8.58M 1s\n",
      "115050K .......... .......... .......... .......... .......... 89% 13.8M 1s\n",
      "115100K .......... .......... .......... .......... .......... 89% 12.0M 1s\n",
      "115150K .......... .......... .......... .......... .......... 89% 10.0M 1s\n",
      "115200K .......... .......... .......... .......... .......... 89% 10.3M 1s\n",
      "115250K .......... .......... .......... .......... .......... 89% 7.75M 1s\n",
      "115300K .......... .......... .......... .......... .......... 89% 23.8M 1s\n",
      "115350K .......... .......... .......... .......... .......... 89% 14.0M 1s\n",
      "115400K .......... .......... .......... .......... .......... 90% 8.75M 1s\n",
      "115450K .......... .......... .......... .......... .......... 90% 11.7M 1s\n",
      "115500K .......... .......... .......... .......... .......... 90% 10.5M 1s\n",
      "115550K .......... .......... .......... .......... .......... 90% 12.1M 1s\n",
      "115600K .......... .......... .......... .......... .......... 90% 8.14M 1s\n",
      "115650K .......... .......... .......... .......... .......... 90% 18.4M 1s\n",
      "115700K .......... .......... .......... .......... .......... 90% 10.4M 1s\n",
      "115750K .......... .......... .......... .......... .......... 90% 12.7M 1s\n",
      "115800K .......... .......... .......... .......... .......... 90% 11.3M 1s\n",
      "115850K .......... .......... .......... .......... .......... 90% 10.9M 1s\n",
      "115900K .......... .......... .......... .......... .......... 90% 10.5M 1s\n",
      "115950K .......... .......... .......... .......... .......... 90% 12.3M 1s\n",
      "116000K .......... .......... .......... .......... .......... 90% 11.9M 1s\n",
      "116050K .......... .......... .......... .......... .......... 90% 11.8M 1s\n",
      "116100K .......... .......... .......... .......... .......... 90% 12.0M 1s\n",
      "116150K .......... .......... .......... .......... .......... 90% 8.90M 1s\n",
      "116200K .......... .......... .......... .......... .......... 90% 13.2M 1s\n",
      "116250K .......... .......... .......... .......... .......... 90% 10.1M 1s\n",
      "116300K .......... .......... .......... .......... .......... 90% 14.4M 1s\n",
      "116350K .......... .......... .......... .......... .......... 90% 10.9M 1s\n",
      "116400K .......... .......... .......... .......... .......... 90% 10.5M 1s\n",
      "116450K .......... .......... .......... .......... .......... 90% 6.99M 1s\n",
      "116500K .......... .......... .......... .......... .......... 90% 32.1M 1s\n",
      "116550K .......... .......... .......... .......... .......... 90% 8.29M 1s\n",
      "116600K .......... .......... .......... .......... .......... 90% 12.6M 1s\n",
      "116650K .......... .......... .......... .......... .......... 90% 11.2M 1s\n",
      "116700K .......... .......... .......... .......... .......... 91% 12.3M 1s\n",
      "116750K .......... .......... .......... .......... .......... 91% 14.7M 1s\n",
      "116800K .......... .......... .......... .......... .......... 91% 5.81M 1s\n",
      "116850K .......... .......... .......... .......... .......... 91% 34.6M 1s\n",
      "116900K .......... .......... .......... .......... .......... 91% 14.1M 1s\n",
      "116950K .......... .......... .......... .......... .......... 91% 11.9M 1s\n",
      "117000K .......... .......... .......... .......... .......... 91% 7.00M 1s\n",
      "117050K .......... .......... .......... .......... .......... 91% 15.0M 1s\n",
      "117100K .......... .......... .......... .......... .......... 91%  508K 1s\n",
      "117150K .......... .......... .......... .......... .......... 91% 11.6M 1s\n",
      "117200K .......... .......... .......... .......... .......... 91%  526M 1s\n",
      "117250K .......... .......... .......... .......... .......... 91%  474M 1s\n",
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      "117800K .......... .......... .......... .......... .......... 91% 1.08M 1s\n",
      "117850K .......... .......... .......... .......... .......... 91% 54.5M 1s\n",
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      "118350K .......... .......... .......... .......... .......... 92% 1.41M 1s\n",
      "118400K .......... .......... .......... .......... .......... 92% 69.9M 1s\n",
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      "119200K .......... .......... .......... .......... .......... 92%  617M 1s\n",
      "119250K .......... .......... .......... .......... .......... 93% 8.50M 1s\n",
      "119300K .......... .......... .......... .......... .......... 93% 18.3M 1s\n",
      "119350K .......... .......... .......... .......... .......... 93% 11.6M 1s\n",
      "119400K .......... .......... .......... .......... .......... 93% 10.9M 1s\n",
      "119450K .......... .......... .......... .......... .......... 93% 10.6M 1s\n",
      "119500K .......... .......... .......... .......... .......... 93% 15.2M 1s\n",
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      "119650K .......... .......... .......... .......... .......... 93% 14.8M 1s\n",
      "119700K .......... .......... .......... .......... .......... 93% 10.6M 1s\n",
      "119750K .......... .......... .......... .......... .......... 93% 12.2M 1s\n",
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      "119850K .......... .......... .......... .......... .......... 93% 14.1M 1s\n",
      "119900K .......... .......... .......... .......... .......... 93% 11.5M 1s\n",
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      "120000K .......... .......... .......... .......... .......... 93% 8.90M 1s\n",
      "120050K .......... .......... .......... .......... .......... 93% 11.5M 1s\n",
      "120100K .......... .......... .......... .......... .......... 93% 13.9M 1s\n",
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      "120200K .......... .......... .......... .......... .......... 93% 8.74M 1s\n",
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      "121000K .......... .......... .......... .......... .......... 94% 12.1M 1s\n",
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      "121100K .......... .......... .......... .......... .......... 94% 12.1M 1s\n",
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      "125350K .......... .......... .......... .......... .......... 97% 13.8M 0s\n",
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      "125500K .......... .......... .......... .......... .......... 97% 9.40M 0s\n",
      "125550K .......... .......... .......... .......... .......... 97% 14.1M 0s\n",
      "125600K .......... .......... .......... .......... .......... 97% 11.7M 0s\n",
      "125650K .......... .......... .......... .......... .......... 98% 10.8M 0s\n",
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      "125750K .......... .......... .......... .......... .......... 98% 13.2M 0s\n",
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      "125950K .......... .......... .......... .......... .......... 98% 12.8M 0s\n",
      "126000K .......... .......... .......... .......... .......... 98% 8.46M 0s\n",
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      "126100K .......... .......... .......... .......... .......... 98% 11.9M 0s\n",
      "126150K .......... .......... .......... .......... .......... 98% 9.70M 0s\n",
      "126200K .......... .......... .......... .......... .......... 98% 8.24M 0s\n",
      "126250K .......... .......... .......... .......... .......... 98% 21.8M 0s\n",
      "126300K .......... .......... .......... .......... .......... 98% 11.7M 0s\n",
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      "126550K .......... .......... .......... .......... .......... 98% 9.59M 0s\n",
      "126600K .......... .......... .......... .......... .......... 98% 7.41M 0s\n",
      "126650K .......... .......... .......... .......... .......... 98% 20.6M 0s\n",
      "126700K .......... .......... .......... .......... .......... 98% 14.2M 0s\n",
      "126750K .......... .......... .......... .......... .......... 98% 11.0M 0s\n",
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      "126850K .......... .......... .......... .......... .......... 98% 10.5M 0s\n",
      "126900K .......... .......... .......... .......... .......... 98% 13.7M 0s\n",
      "126950K .......... .......... .......... .......... .......... 99% 12.5M 0s\n",
      "127000K .......... .......... .......... .......... .......... 99% 6.96M 0s\n",
      "127050K .......... .......... .......... .......... .......... 99% 13.2M 0s\n",
      "127100K .......... .......... .......... .......... .......... 99% 14.2M 0s\n",
      "127150K .......... .......... .......... .......... .......... 99% 8.61M 0s\n",
      "127200K .......... .......... .......... .......... .......... 99% 13.1M 0s\n",
      "127250K .......... .......... .......... .......... .......... 99% 9.43M 0s\n",
      "127300K .......... .......... .......... .......... .......... 99% 16.8M 0s\n",
      "127350K .......... .......... .......... .......... .......... 99% 11.0M 0s\n",
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      "127550K .......... .......... .......... .......... .......... 99% 5.65M 0s\n",
      "127600K .......... .......... .......... .......... .......... 99%  310M 0s\n",
      "127650K .......... .......... .......... .......... .......... 99%  719M 0s\n",
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      "127750K .......... .......... .......... .......... .......... 99%  542M 0s\n",
      "127800K .......... .......... .......... .......... .......... 99%  709M 0s\n",
      "127850K .......... .......... .......... .......... .......... 99%  619M 0s\n",
      "127900K .......... .......... .......... .......... .......... 99%  703M 0s\n",
      "127950K .......... .......... .......... .......... .......... 99%  736M 0s\n",
      "128000K .......... .......... .......... .......... .......... 99%  329M 0s\n",
      "128050K .......... .......... .......... .......... .......... 99%  695M 0s\n",
      "128100K .......... .......... .......... .......... .......... 99%  613M 0s\n",
      "128150K .......... .......... .......... .......... .......... 99% 1.34M 0s\n",
      "128200K .......... .......... .......... .......... .......... 99% 10.5M 0s\n",
      "128250K .......... ..                                         100%  192M=12s\n",
      "\n",
      "2022-08-14 12:54:10 (10.4 MB/s) - 'melon17_split.zip' saved [131340912/131340912]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/melon17/melon17_split.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6bec42d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "系统找不到指定的路径。\n"
     ]
    }
   ],
   "source": [
    "# 解压\n",
    "!unzip melon17_split.zip >> /dev/null"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "411cea64",
   "metadata": {},
   "outputs": [],
   "source": [
    "import zipfile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0562cb13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method ZipFile.close of <zipfile.ZipFile filename='./melon17_split.zip' mode='r'>>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f =zipfile.ZipFile(\"./melon17_split.zip\",'r')\n",
    "for file in f.namelist():\n",
    "    f.extract(file,\"./\")\n",
    "f.close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32971f4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "--2022-08-14 14:08:01--  https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/melon17/idx_to_labels.npy\n",
      "Resolving zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)... 121.36.235.132\n",
      "Connecting to zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com (zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com)|121.36.235.132|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 580 [binary/octet-stream]\n",
      "Saving to: 'idx_to_labels.npy'\n",
      "\n",
      "     0K                                                       100% 2.59M=0s\n",
      "\n",
      "2022-08-14 14:08:02 (2.59 MB/s) - 'idx_to_labels.npy' saved [580/580]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!wget https://zihao-openmmlab.obs.cn-east-3.myhuaweicloud.com/20220716-mmclassification/dataset/melon17/idx_to_labels.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e2c71ed8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "import torch\n",
    "import torchvision\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "096d5286",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "device cuda:0\n"
     ]
    }
   ],
   "source": [
    "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n",
    "print('device',device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e7b145dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import transforms\n",
    "\n",
    "# 训练集图像预处理：缩放裁剪、图像增强、转 Tensor、归一化\n",
    "train_transform = transforms.Compose([transforms.RandomResizedCrop(224),\n",
    "                                      transforms.RandomHorizontalFlip(),\n",
    "                                      transforms.ToTensor(),\n",
    "                                      transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "                                     ])\n",
    "\n",
    "# 测试集图像预处理-RCTN：缩放、裁剪、转 Tensor、归一化\n",
    "test_transform = transforms.Compose([transforms.Resize(256),\n",
    "                                     transforms.CenterCrop(224),\n",
    "                                     transforms.ToTensor(),\n",
    "                                     transforms.Normalize(\n",
    "                                         mean=[0.485, 0.456, 0.406], \n",
    "                                         std=[0.229, 0.224, 0.225])\n",
    "                                    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d9ea2bad",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset_dir ='melon17_split'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "eb7d06d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集路径 melon17_split\\train\n",
      "测试集路径 melon17_split\\val\n"
     ]
    }
   ],
   "source": [
    "train_path = os.path.join(dataset_dir,'train')\n",
    "test_path = os.path.join(dataset_dir,'val')\n",
    "print('训练集路径',train_path)\n",
    "print('测试集路径',test_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "57dcf917",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import datasets\n",
    "\n",
    "train_dataset = datasets.ImageFolder(train_path,train_transform)\n",
    "test_dataset = datasets.ImageFolder(test_path,train_transform)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ae29ce11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "训练集图像数量 2076\n",
      "类别个数 17\n",
      "各类别名称 ['丝瓜', '人参果', '佛手瓜', '冬瓜', '南瓜', '哈密瓜', '木瓜', '甜瓜-伊丽莎白', '甜瓜-白', '甜瓜-绿', '甜瓜-金', '白兰瓜', '羊角蜜', '苦瓜', '西瓜', '西葫芦', '黄瓜']\n"
     ]
    }
   ],
   "source": [
    "print('训练集图像数量',len(train_dataset))\n",
    "print('类别个数',len(train_dataset.classes))\n",
    "print('各类别名称',train_dataset.classes)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5b086bfa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "测试集图像数量 509\n",
      "类别个数 17\n",
      "各类别名称 ['丝瓜', '人参果', '佛手瓜', '冬瓜', '南瓜', '哈密瓜', '木瓜', '甜瓜-伊丽莎白', '甜瓜-白', '甜瓜-绿', '甜瓜-金', '白兰瓜', '羊角蜜', '苦瓜', '西瓜', '西葫芦', '黄瓜']\n"
     ]
    }
   ],
   "source": [
    "print('测试集图像数量', len(test_dataset))\n",
    "print('类别个数', len(test_dataset.classes))\n",
    "print('各类别名称', test_dataset.classes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7c586033",
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names =train_dataset.classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5f090bbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['丝瓜',\n",
       " '人参果',\n",
       " '佛手瓜',\n",
       " '冬瓜',\n",
       " '南瓜',\n",
       " '哈密瓜',\n",
       " '木瓜',\n",
       " '甜瓜-伊丽莎白',\n",
       " '甜瓜-白',\n",
       " '甜瓜-绿',\n",
       " '甜瓜-金',\n",
       " '白兰瓜',\n",
       " '羊角蜜',\n",
       " '苦瓜',\n",
       " '西瓜',\n",
       " '西葫芦',\n",
       " '黄瓜']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "11d2111c",
   "metadata": {},
   "outputs": [],
   "source": [
    "idx_to_labels ={y:x for x,y in train_dataset.class_to_idx.items()}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b69159ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: '丝瓜',\n",
       " 1: '人参果',\n",
       " 2: '佛手瓜',\n",
       " 3: '冬瓜',\n",
       " 4: '南瓜',\n",
       " 5: '哈密瓜',\n",
       " 6: '木瓜',\n",
       " 7: '甜瓜-伊丽莎白',\n",
       " 8: '甜瓜-白',\n",
       " 9: '甜瓜-绿',\n",
       " 10: '甜瓜-金',\n",
       " 11: '白兰瓜',\n",
       " 12: '羊角蜜',\n",
       " 13: '苦瓜',\n",
       " 14: '西瓜',\n",
       " 15: '西葫芦',\n",
       " 16: '黄瓜'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx_to_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "939701b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('idx_to_labels.npy',idx_to_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "429507fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "37eca6f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "BATCH_SIZE =32\n",
    "\n",
    "train_loader =DataLoader(train_dataset,\n",
    "                         batch_size =BATCH_SIZE,\n",
    "                         shuffle =True,\n",
    "                         num_workers =0\n",
    "                        )\n",
    "\n",
    "test_loader =DataLoader(test_dataset,\n",
    "                         batch_size =BATCH_SIZE,\n",
    "                         shuffle =False,\n",
    "                         num_workers =0\n",
    "                        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9ee86ab8",
   "metadata": {},
   "outputs": [],
   "source": [
    "images, labels = next(iter(train_loader))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b983620e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([32, 3, 224, 224])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3204d09c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([13,  8, 16,  0, 12, 13,  2,  7,  6,  3, 16, 11, 16,  8, 11,  1, 13, 12,\n",
       "        11,  5,  3,  4,  8, 13, 15, 14, 14,  8, 16, 14, 13,  2])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "95672c9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "images =images.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "88ce1324",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 224, 224)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images[5].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "058387a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MfUnqiKEvSR0x9CWpI12+hsHXLUjqlT19SerIxEM/ybok30uyJ8nlk/5+SerZRId3kpwEfAh4EbAXuD3J9qq6ZyG+z2EcSXqkSff0zwH2VNW9VfUrYBuwfsJtkKRuTfpC7krg/qH5vcC5wxWSbAQ2ttmfJ/necXzfacCPjmP9pcBjMOBx8BgcsSiOQ957XKv/8WwLTri7d6pqM7B5HNtKsrOqZsaxrcXKYzDgcfAYHNH7cZj08M4+YPXQ/KpWJkmagEmH/u3A2iRnJnkCcAmwfcJtkKRuTXR4p6oOJ3kjcAtwErClqu5ewK8cyzDRIucxGPA4eAyO6Po4pKqm3QZJ0oT4RK4kdcTQl6SOLOnQT/IvSb6b5K4kn0yybNptmoYkr0hyd5L/S9LVrWq+9gOSbElyIMl3pt2WaUmyOsmXktzT/i+8adptmpYlHfrADuBPq+rPgP8Grphye6blO8DfAV+ZdkMmaei1HxcBZwGvTnLWdFs1FR8B1k27EVN2GHhrVZ0FPB+4rNN/C0s79Kvq81V1uM3exuC5gO5U1a6qOp4nmxcrX/sBVNVXgEPTbsc0VdX+qvpmm/4ZsIvBGwK6s6RD/1H+AfjstBuhiTraaz+6/I+u30qyBnge8PUpN2UqTrjXMMxXki8Af3iURe+oqptbnXcw+PXuhkm2bZJGOQ5S75I8Bfg48Oaq+um02zMNiz70q+pvjrU8yeuBlwDn1xJ+KGGu49ApX/uh30jyeAaBf0NVfWLa7ZmWJT28k2Qd8DbgpVX18LTbo4nztR8CIEmA64BdVfW+abdnmpZ06AMfBJ4K7EhyZ5IPT7tB05Dkb5PsBV4AfDrJLdNu0yS0i/hHXvuxC7hxgV/7cUJK8jHga8Azk+xNcum02zQFLwReC5zXsuDOJBdPu1HT4GsYJKkjS72nL0kaYuhLUkcMfUnqiKEvSR0x9CWpI4a+JHXE0Jekjvw/k4W1J1RK4ZsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(images[5].flatten(), bins=50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3ef89f53",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'label:16')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# batch 中经过预处理的图像\n",
    "idx = 2\n",
    "plt.imshow(images[idx].transpose((1,2,0))) # 转为(224, 224, 3)\n",
    "plt.title('label:'+str(labels[idx].item()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8f26fabd",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_ID =labels[idx].item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "908b8d0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "060a8741",
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_classname =idx_to_labels[pred_ID]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "67e178dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'黄瓜'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_classname"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "43044954",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ANACONDA\\envs\\FOOD\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 40644 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "D:\\ANACONDA\\envs\\FOOD\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:238: RuntimeWarning: Glyph 29916 missing from current font.\n",
      "  font.set_text(s, 0.0, flags=flags)\n",
      "D:\\ANACONDA\\envs\\FOOD\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 40644 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n",
      "D:\\ANACONDA\\envs\\FOOD\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:201: RuntimeWarning: Glyph 29916 missing from current font.\n",
      "  font.set_text(s, 0, flags=flags)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 原始图像\n",
    "idx = 2\n",
    "mean = np.array([0.485, 0.456, 0.406])\n",
    "std = np.array([0.229, 0.224, 0.225])\n",
    "plt.imshow(np.clip(images[idx].transpose((1,2,0)) * std + mean, 0, 1))\n",
    "plt.title('pred_label:'+ pred_classname)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0f9649a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchvision import models\n",
    "import torch.optim as optim\n",
    "from torch.optim import lr_scheduler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7f70b06c",
   "metadata": {},
   "outputs": [],
   "source": [
    "model =models.resnet18(pretrained =True)\n",
    "model.fc = nn.Linear(model.fc.in_features,len(class_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "21affad2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Linear(in_features=512, out_features=17, bias=True)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bd99e7e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 只微调训练最后一层全连接层的参数，其它层冻结\n",
    "optimizer = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "492659ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "model =model.to(device)\n",
    "criterion =nn.CrossEntropyLoss()\n",
    "scheduler = lr_scheduler.StepLR(optimizer, step_size=7, gamma=0.1)\n",
    "EPOCHS = 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4dac476a",
   "metadata": {},
   "outputs": [],
   "source": [
    "images,labels =next(iter(train_loader))\n",
    "images =images.to(device)\n",
    "labels =labels.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "bc9361c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "outputs =model(images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fe57133d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([32, 17])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outputs.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "7c7abade",
   "metadata": {},
   "outputs": [],
   "source": [
    "loss = criterion(outputs,labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b65e3834",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 反向传播“三部曲”\n",
    "optimizer.zero_grad() # 清除梯度\n",
    "loss.backward() # 反向传播\n",
    "optimizer.step() # 优化更新"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "71277019",
   "metadata": {},
   "outputs": [],
   "source": [
    "_, preds = torch.max(outputs, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "cb7580ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([ 7,  4,  9,  7,  7, 10,  7, 13,  1,  7,  0,  7,  7,  7,  7,  7,  7, 15,\n",
       "        15, 12,  7,  7,  9,  9,  7,  0,  8,  7,  1,  9, 12,  7],\n",
       "       device='cuda:0')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "de332770",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a6d82332",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting package metadata (current_repodata.json): ...working... done\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "Solving environment: ...working... done\n",
      "\n",
      "## Package Plan ##\n",
      "\n",
      "  environment location: D:\\ANACONDA\\envs\\FOOD\n",
      "\n",
      "  added / updated specs:\n",
      "    - tqdm\n",
      "\n",
      "\n",
      "The following packages will be downloaded:\n",
      "\n",
      "    package                    |            build\n",
      "    ---------------------------|-----------------\n",
      "    ca-certificates-2022.6.15  |       h5b45459_0         188 KB  conda-forge\n",
      "    openssl-1.1.1q             |       h8ffe710_0         5.8 MB  conda-forge\n",
      "    tqdm-4.64.0                |     pyhd8ed1ab_0          81 KB  conda-forge\n",
      "    ------------------------------------------------------------\n",
      "                                           Total:         6.0 MB\n",
      "\n",
      "The following NEW packages will be INSTALLED:\n",
      "\n",
      "  tqdm               conda-forge/noarch::tqdm-4.64.0-pyhd8ed1ab_0\n",
      "\n",
      "The following packages will be SUPERSEDED by a higher-priority channel:\n",
      "\n",
      "  ca-certificates    anaconda/pkgs/main::ca-certificates-2~ --> conda-forge::ca-certificates-2022.6.15-h5b45459_0\n",
      "  openssl            anaconda/pkgs/main::openssl-1.1.1q-h2~ --> conda-forge::openssl-1.1.1q-h8ffe710_0\n",
      "\n",
      "\n",
      "\n",
      "Downloading and Extracting Packages\n",
      "\n",
      "ca-certificates-2022 | 188 KB    |            |   0% \n",
      "ca-certificates-2022 | 188 KB    | 8          |   9% \n",
      "ca-certificates-2022 | 188 KB    | ######8    |  68% \n",
      "ca-certificates-2022 | 188 KB    | ########## | 100% \n",
      "\n",
      "tqdm-4.64.0          | 81 KB     |            |   0% \n",
      "tqdm-4.64.0          | 81 KB     | ########## | 100% \n",
      "tqdm-4.64.0          | 81 KB     | ########## | 100% \n",
      "\n",
      "openssl-1.1.1q       | 5.8 MB    |            |   0% \n",
      "openssl-1.1.1q       | 5.8 MB    | 3          |   3% \n",
      "openssl-1.1.1q       | 5.8 MB    | 6          |   6% \n",
      "openssl-1.1.1q       | 5.8 MB    | #1         |  12% \n",
      "openssl-1.1.1q       | 5.8 MB    | #5         |  15% \n",
      "openssl-1.1.1q       | 5.8 MB    | #8         |  19% \n",
      "openssl-1.1.1q       | 5.8 MB    | ##2        |  23% \n",
      "openssl-1.1.1q       | 5.8 MB    | ##6        |  26% \n",
      "openssl-1.1.1q       | 5.8 MB    | ##9        |  30% \n",
      "openssl-1.1.1q       | 5.8 MB    | ###2       |  33% \n",
      "openssl-1.1.1q       | 5.8 MB    | ###6       |  36% \n",
      "openssl-1.1.1q       | 5.8 MB    | ####       |  40% \n",
      "openssl-1.1.1q       | 5.8 MB    | ####3      |  44% \n",
      "openssl-1.1.1q       | 5.8 MB    | ####7      |  48% \n",
      "openssl-1.1.1q       | 5.8 MB    | #####2     |  53% \n",
      "openssl-1.1.1q       | 5.8 MB    | #####7     |  57% \n",
      "openssl-1.1.1q       | 5.8 MB    | ######1    |  61% \n",
      "openssl-1.1.1q       | 5.8 MB    | ######5    |  65% \n",
      "openssl-1.1.1q       | 5.8 MB    | ######9    |  69% \n",
      "openssl-1.1.1q       | 5.8 MB    | #######3   |  74% \n",
      "openssl-1.1.1q       | 5.8 MB    | #######7   |  77% \n",
      "openssl-1.1.1q       | 5.8 MB    | ########1  |  81% \n",
      "openssl-1.1.1q       | 5.8 MB    | ########4  |  85% \n",
      "openssl-1.1.1q       | 5.8 MB    | ########8  |  89% \n",
      "openssl-1.1.1q       | 5.8 MB    | #########2 |  92% \n",
      "openssl-1.1.1q       | 5.8 MB    | #########6 |  97% \n",
      "openssl-1.1.1q       | 5.8 MB    | ########## | 100% \n",
      "Preparing transaction: ...working... done\n",
      "Verifying transaction: ...working... done\n",
      "Executing transaction: ...working... done\n"
     ]
    }
   ],
   "source": [
    "conda install -c conda-forge tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c5793d35",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "bee73b92",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [04:23<00:00, 13.18s/it]\n"
     ]
    }
   ],
   "source": [
    "# 遍历每个 EPOCH\n",
    "for epoch in tqdm(range(EPOCHS)):\n",
    "\n",
    "    model.train()\n",
    "\n",
    "    # 遍历每个 batch\n",
    "    for images, labels in train_loader:  # 获得一个 batch 的数据和标注\n",
    "        images = images.to(device)\n",
    "        labels = labels.to(device)\n",
    "\n",
    "        outputs = model(images)\n",
    "        loss = criterion(outputs, labels)\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b3cd8ab6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 16/16 [00:04<00:00,  3.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "测试集上的准确率为 74.263 %\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    correct = 0\n",
    "    total = 0\n",
    "    for images, labels in tqdm(test_loader):\n",
    "        images = images.to(device)\n",
    "        labels = labels.to(device)\n",
    "        outputs = model(images)\n",
    "        _, preds = torch.max(outputs, 1)\n",
    "        total += labels.size(0)\n",
    "        correct += (preds == labels).sum()\n",
    "\n",
    "    print('测试集上的准确率为 {:.3f} %'.format(100 * correct / total))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "1cbf4f62",
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(model, 'checkpoints/melon17_pytorch_20220812.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0bec7e2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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